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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rsocp</journal-id>
			<journal-title-group>
				<journal-title>Revista de Sociologia e Pol&#xED;tica</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Rev. Sociol. Polit.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0104-4478</issn>
			<issn pub-type="epub">1678-9873</issn>
			<publisher>
				<publisher-name>Universidade Federal do Paran&#xE1;</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">00007</article-id>
			<article-id pub-id-type="doi">10.1590/1678-987320287307en</article-id>
			<article-id pub-id-type="other">00206</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Articles</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>The Supreme Federal Court as Queen of Chess: Partisan Fragmentation and Judicial Empowerment in Brazil</article-title>
				<trans-title-group xml:lang="pt">
					<trans-title>O Supremo Tribunal Federal como a rainha do jogo de xadrez: fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e empoderamento judicial no Brasil</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7131-1012</contrib-id>
					<name>
						<surname>Barbosa</surname>
						<given-names>Leon Victor de Queiroz</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">
						<sup>I</sup>
					</xref>
					<xref ref-type="corresp" rid="c1"/>
					<email>leon.victorqueiroz@ufpe.br</email>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3165-2434</contrib-id>
					<name>
						<surname>Carvalho</surname>
						<given-names>Ernani</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">
						<sup>I</sup>
					</xref>
					<xref ref-type="corresp" rid="c2"/>
					<email>ernani.carvalho@ufpe.brz</email>
				</contrib>
			</contrib-group>
				<aff id="aff1">
					<label>I</label>
					<institution content-type="normalized">Federal University of Pernambuco</institution>
					<institution content-type="orgname">Federal University of Pernambuco</institution>
					<institution content-type="orgdiv1">Political Science Department</institution>
					<addr-line>
						<named-content content-type="city">Recife</named-content>
						<named-content content-type="state">PE</named-content>
					</addr-line>
					<country country="BR">Brazil</country>
					<institution content-type="original">Political Science Department, Federal University of Pernambuco, Recife, PE, Brazil.</institution>
				</aff>
			<author-notes>
				<corresp id="c1">Leon Victor de Queiroz Barbosa (leon.victorqueiroz@ufpe.br) is PhD in Political Science from the Federal University of Pernambuco (UFPE) and Professor at the Political Science Department at UFPE.</corresp>
				<corresp id="c2">Ernani Carvalho (ernani.carvalho@ufpe.br) is PhD in Political Science from the University of S&#x00E3;o Paulo (USP) and Professor at the Political Science Department at UFPE.</corresp>
			</author-notes>
			<!--pub-date date-type="pub" publication-format="electronic">
				<day>26</day>
				<month>08</month>
				<year>2020</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic"-->
				<pub-date pub-type="epub-ppub">
				<year>2020</year>
			</pub-date>
			<volume>28</volume>
			<issue>73</issue>
			<elocation-id>e007</elocation-id>
			<history>
				<date date-type="received">
					<day>07</day>
					<month>09</month>
					<year>2018</year>
				</date>
				<date date-type="accepted">
					<day>14</day>
					<month>06</month>
					<year>2019</year>
				</date>
				<date date-type="accepted">
					<day>27</day>
					<month>02</month>
					<year>2020</year>
				</date>
			</history>
			<permissions>
				<copyright-year>2020</copyright-year>
				<license xml:lang="en" license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0">
					<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited.</license-p>
				</license>
			</permissions>
			<abstract>
				<title>ABSTRACT</title>
				<sec>
					<title>Introduction:</title>
					<p>This article deals with the Supreme Federal Court&#x2019;s empowerment trajectory, exploring exogenous variables in order to explain what made the Supreme Court so institutionally powerful, and how it happened. After the classic studies on the global expansion of the judicial power, that pointed to a myriad of causes as a result of the phenomenon, several recent researches have indicated the political-party fragmentation as the main cause of judicial empowerment. Seeking to corroborate these analyses, the present work analyzes the institutional empowerment of the Brazilian Judiciary from 1945 to 2015, testing the hypothesis the greater the party fragmentation, more institutional power the STF holds.</p>
				</sec>
				<sec>
					<title>Materials and Methods:</title>
					<p>As a dependent variable, a synthetic indicator was created to measure the institutional power of the Federal Supreme Court year by year. The independent variables measure the party composition of the Chamber of Deputies annually for the same period. In addition to these variables, other measures were imported from the V-Dem database. For this analysis, simple linear, generalized linear and multinomial models were used.</p>
				</sec>
				<sec>
					<title>Results:</title>
					<p>We identified significant impact of party fragmentation on institutional empowerment of the Supreme Court. In all tests, party fragmentation increased the chances of institutional empowerment of the Brazilian judiciary.</p>
				</sec>
				<sec>
					<title>Discussion:</title>
					<p>The exogenous reforms that generated this empowerment took place with the support of the Executive and the leniency of the Legislative, transforming the Brazilian Supreme Court into the Queen of the Chess.</p>
				</sec>
			</abstract>
			<trans-abstract xml:lang="pt">
				<title>RESUMO</title>
				<sec>
					<title>Introdu&#x00E7;&#x00E3;o:</title>
					<p>Este artigo analisa o processo de empoderamento do Supremo Tribunal Federal (STF) do Brasil entre 1945 e 2015. O objetivo &#x00E9; explicar o que tornou o STF t&#x00E3;o poderoso institucionalmente e como isso ocorreu. Estudos sobre a expans&#x00E3;o global do poder judicial apontam uma multiplicidade de causas para explicar esse fen&#x00F4;meno, mas pesquisas recentes v&#x00EA;m indicando a fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria como a principal causa do empoderamento judicial. O presente trabalho testa a hip&#x00F3;tese de que quanto maior a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria, mais poder institucional o STF possuir&#x00E1;.</p>
				</sec>
				<sec>
					<title>Materiais e M&#x00E9;todos:</title>
					<p>Como vari&#x00E1;vel dependente, foi criado um indicador sint&#x00E9;tico que mensura o poder institucional do Supremo Tribunal Federal ano a ano. As vari&#x00E1;veis independentes mensuraram anualmente a composi&#x00E7;&#x00E3;o partid&#x00E1;ria da C&#x00E2;mara dos Deputados para o mesmo per&#x00ED;odo. Al&#x00E9;m dessas vari&#x00E1;veis, foram importadas outras medidas da base de dados do V-Dem. Para essa an&#x00E1;lise foram utilizados modelos lineares simples, lineares generalizados e multinomiais.</p>
				</sec>
				<sec>
					<title>Resultados:</title>
					<p>Foi identificado um alto impacto da fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria no empoderamento institucional do STF. Em todos os testes, a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria aumentou as chances de empoderamento institucional do Poder Judici&#x00E1;rio brasileiro.</p>
				</sec>
				<sec>
					<title>Discuss&#x00E3;o:</title>
					<p>As reformas ex&#x00F3;genas que geraram esse empoderamento se deram com o apoio do Poder Executivo e com a leni&#x00EA;ncia do Poder Legislativo, transformando a Suprema Corte brasileira na Rainha do jogo de xadrez institucional nacional.</p>
				</sec>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>KEYWORDS:</title>
				<kwd>Judiciary Power</kwd>
				<kwd>Partisan Fragmentation</kwd>
				<kwd>judicial empowerment</kwd>
				<kwd>Supreme Federal Court</kwd>
				<kwd>multinomial</kwd>
				<kwd>factorial analysis</kwd>
			</kwd-group>
			<kwd-group xml:lang="pt">
				<title>PALAVRAS-CHAVE:</title>
				<kwd>Poder Judici&#x00E1;rio</kwd>
				<kwd>fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria</kwd>
				<kwd>empoderamento judicial</kwd>
				<kwd>Supremo Tribunal Federal</kwd>
				<kwd>multinomial</kwd>
				<kwd>an&#x00E1;lise fatorial</kwd>
			</kwd-group>
			<counts>
				<fig-count count="4"/>
				<table-count count="12"/>
				<equation-count count="0"/>
				<ref-count count="39"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>I. Introduction
				<xref ref-type="fn" rid="fn1">
					<sup>1</sup>
				</xref>
			</title>
			<p>During the development and improvement of modern democracies, attention was focused on Representative Power. The Legislative Body has always been the vector of legitimacy and sovereignty, that is, the apex of the very idea of democratic government. Since the incremental reforms in the English model, there has been an increasing improvement in Parliament, whose power was gradually shared with the Monarchy until its current institutional design, under the aegis of the principle of parliament&#x2019;s sovereignty, that is, the Legislative has the last word.</p>
			<p>In contrast to the British model, Madison developed a system of checks and balances where the Legislative would be separate from the Executive and judges allocated in a higher court would control the other powers through the exegetical application of the Constitution. In other words, the sovereignty of the parliament would give way to the supremacy of the constitution. Under the aegis of this principle, Madison and Hamilton, with a strong participation of the American Supreme Court itself
				<xref ref-type="fn" rid="fn2">
					<sup>2</sup>
				</xref>, designed a model that gave the Judiciary the last word in the decision-making process, through judicial review. The common law system itself contributed to the establishment of the American Supreme Court, and, especially after the Marbury v. Madison case, the limits and scope of its activities within the framework of the other powers&#x2019; act review.
			</p>
			<p>This model of control by judges proved to be quite effective and widespread in the period after the second war, because it was able to inhibit the majority passions, preventing dangerous, but legislatively majority politicians, from gaining power, as in the case of Germany in the Nazi period. Thus, the classic collection by 
				<xref ref-type="bibr" rid="B38">Tate &#x0026; Vallinder (1995)</xref> was the first academic effort aimed at understanding the causes and consequences of this process, which had gained global dimensions. In other words, with regards to Western democracies, parliamentarians were no longer the last word in the decision-making process, more and more judges were playing a central role in this dynamic. It is a segment with strong political and social ascension, specially selected to compose a judicial body with special competence
				<xref ref-type="fn" rid="fn3">
					<sup>3</sup>
				</xref>.
			</p>
			<p>Brazil followed this global movement of Judiciary expansion and by 1988, in its constitutional design, combined two models of judicial review, the American model and the concentrated Kelsenian model, which in the original design was exercised by an administrative body outside the three powers, but in Brazil it ended up in the hands of the same body that was responsible for the North American type of review. This is how the current Supreme Federal Court (STF)
				<xref ref-type="fn" rid="fn4">
					<sup>4</sup>
				</xref> emerged. However, this model did not appear randomly or accidentally. The national record of democratic disruptions and political instability would play a major role in empowering our supreme court
				<xref ref-type="fn" rid="fn5">
					<sup>5</sup>
				</xref>. The main question of this research is directed to how and why the Supreme Court became so powerful. Who provided the STF with more power, the Executive or the Legislative? What effect does the political regime have on this increase in power? The main hypothesis is that political party fragmentation has made the Legislative and Executive endow the STF with sufficient power to protect elites who leave power, as well as avoid congressional gridlocks, endowing the supreme court with the capacity to resolve decision impasses in order to guarantee the fluidity of the political system, removing decision paralysis.
			</p>
			<p>To test these hypotheses, a database was set up comprehending the years between 1945 and 2015, where each year is an event and in which seventeen exogenous variables are measured, among which we highlight five indicators of institutional empowerment of the STF and the Judiciary, three measures for party fragmentation through the effective number of parties (NEP - from the term in Portuguese &#x201C;N&#x00FA;mero Efetivo de Partidos&#x201D;), the minimum number of parties to implement constitutional change (NMP - from the term in Portuguese &#x201C;N&#x00FA;mero M&#x00ED;nimo de Partidos&#x201D;) and the Douglas Rae fractionalization index (F)
				<xref ref-type="fn" rid="fn6">
					<sup>6</sup>
				</xref>, as well as two variables of political competition (polyarchy and political competition) and a control binary variable for political regime. Interactive terms were also created to capture the marginal effects of the regime. Thus, the article is divided into three sections, after that introduction (I). In the second section, we go through a brief analysis of the evolution of the judiciary in general, and in Brazil in particular. In the third section we return to the institutional debate and explore the data, and in the fourth one we run the models and deliver the analysis. Finally, we bring the conclusions (V) and final considerations.
			</p>
		</sec>
		<sec>
			<title>II. Summary of the Evolution of the Judiciary Power</title>
			<p>In the year 1752, Montesquieu recorded within three powers the Judiciary is, to some extent, close to nothing. His work, the classic The Spirit of the Laws, would become a landmark in the theory of the separation of powers. In fact, Judges did not occupy a prominent place in the construction of models of democracy, either in Classical Antiquity or in the post-absolutism period. Not even James Madison in his federalist articles had thought of giving the Supreme Court so much prominence, which, in his institutional design, operated as a mechanism for checks and balances within the federative-presidential logic of the North American model. It was a set of judicial decisions
				<xref ref-type="fn" rid="fn7">
					<sup>7</sup>
				</xref> that built, through precedent, the strength that the American Constitutional Court started to exert over other powers. These cases were seminal, not only to reinforce checks-and-balances, but also to illustrate the Supreme Court as a policy maker, as outlined in Robert Dahl&#x2019;s seminal article (
				<xref ref-type="bibr" rid="B11">Dahl 1957</xref>).
			</p>
			<p>While the diffuse North American judicial review model found a favorable environment in the common law system, which allows the Judiciary to innovate in Law through the rule of precedent, the civil law model required a positive institutional design through the Legislative, which in a way prevented the Judiciary from self-empowerment. It was in 1920, in Austria, that Hans Kelsen and Carl Schmitt had an intense debate
				<xref ref-type="fn" rid="fn8">
					<sup>8</sup>
				</xref> about the adoption of a model of judicial intervention that was not as strong as the one of the United States. So the concentrated-ABSTRACT model emerged in Austria, where a body outside the Judiciary, but holding last word on the Constitution, would have as its main prerogative to protect it from conjunctural majorities, seeking to provide legal stability over time. However, this debate only gained worldwide proportions after the Second World War, when European nations found themselves weakened by the Sovereignty of Parliament principle
				<xref ref-type="fn" rid="fn9">
					<sup>9</sup>
				</xref>, and sought a model that would protect them from populism and from the appropriate legislative majorities. From then on, the Madisonian institutional design enshrined the Principle of Supremacy of the Constitution, which started to be adopted by several European and Latin American countries. In other words, the Judiciary Power came to be seen within the three powers as a factor of stability against legislative majorities that tended to tyranny of the majority.
			</p>
			<p>This new configuration in the theory of separation of powers endowed the Judiciary with a role previously unheard of, which, by strengthening institutionally the body through constitutional rules, allowed Judges to start to interfere with more force and frequency in the political arena. As 
				<xref ref-type="bibr" rid="B28">Lijphart (2003</xref>, p. 258) pointed out, if a body is created with the sole purpose of examining the constitutionality of the legislation, it is very likely that it will perform this task with some vitality. The Brazilian case is even more interesting, since its supreme court, the Supreme Federal Court - STF, is not a body with a single aim in analyze the constitutionality of norms and rules. He also acts as an ordinary appellate body in cases where he is the original body for actions against certain public authorities, in addition to assessing extraordinary appeals, where he exercises diffuse judicial review and also acts as a concentrated judicial reviewer. In other words, the Brazilian model is a hybrid model that united the North American model and the Kelsen model. However, this model was built over time, gradually and incrementally. The STF was not always so powerful, as demonstrated by Aliomar Baleeiro in the work &#x201C;O Supremo Tribunal Federal, esse outro desconhecido&#x201D; (The Supreme Federal Court, this other unknown), published in 1968 (
				<xref ref-type="bibr" rid="B2">Baleeiro 1968</xref>). The 
				<xref ref-type="fig" rid="f1">Graph 1</xref> illustrates this evolution over time. The y-axis represents the number of words contained in the section dedicated to the Judiciary in each Constitution by presidential mandates (x-axis) due to the changes made by constitutions and constitutional amendments. Thus, it was possible to capture the &#x201C;size&#x201D; of each of the three powers, allowing their comparison. The graph shows that the year 2004 (Lula 2003-2010) was the moment when the Judiciary (black line) overtook the Legislative (red line). The Executive is represented by the blue line. It was in that year that there was a reform of the judiciary (Amendment 45 of 2004), with the creation of the National Justice Council, making the control of the central Judiciary to become even stronger.
			</p>
			<fig id="f1">
				<label>Graph 1</label>
				<caption>
					<title>Branches&#x2019; Evolution (1891 &#x2013; 2014)</title>
				</caption>
				<graphic xlink:href="figura1.jpg"/>
				<attrib>Source: The authors, based on 
					<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
				</attrib>
			</fig>
			<p>In addition to the reform of the Judiciary, Andrei Koerner stressed that President Lula, upon assuming the Presidency of the Republic in 2003, had difficulties in implementing his agenda through the Legislative route, opting for the judicial route when appointing progressive ministers linked to the left and social movements (
				<xref ref-type="bibr" rid="B26">Koerner, 2013</xref>). This argument is well illustrated in 
				<xref ref-type="fig" rid="f2">Graph 2</xref>, with the alignment of the indicators
				<xref ref-type="fn" rid="fn10">
					<sup>10</sup>
				</xref> of judicial empowerment and party fragmentation. These indicators were constructed through the factor analysis of six variables in two blocks: 1) judicial empowerment, where the variables that measure the size of the Judiciary Power in the Constitution through the number of words (NPPJ), the degree of detail of the constitutional text related to the Judiciary (D) and the STF Empowerment Indicator (iSTF
				<xref ref-type="fn" rid="fn11">
					<sup>11</sup>
				</xref>); 2) party fragmentation, in which the variables of the effective number of parties (NEP), the Rae fractionalization index (F) and the minimum number of parties were implemented to implement a constitutional change (NMP). For more details, see Barbosa (2015, p. 63-98).
			</p>
			<fig id="f2">
				<label>Graph 2</label>
				<caption>
					<title>Indicator of Judicial Empowerment and Party Fragmentation between 1945 and 2013.</title>
				</caption>
				<graphic xlink:href="figura2.jpg"/>
				<attrib>Source: The authors, based on 
					<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
				</attrib>
			</fig>
			<p>In the 
				<xref ref-type="fig" rid="f2">Graph 2</xref>, the y-axis is represented by the factored indicators, while the x-axis represents the year of constitutional changes (by Constitution and by amendments). The red dotted line signifies the point of no return, that is, after the 1988 Constitution there is no way for the Executive and/or Legislative to go back and diminish the powers of the Judiciary, unless it agrees with this reduction, which is very unlikely. Once the STF is in charge of controlling constitutional changes, any attempt to reduce its power through a Constitutional Amendment will be up to it to decide on its own reduction of power. This event specifically shows that, within the current constitutional order, it is the STF that decides on its own powers, being responsible for making a self-restraint (
				<xref ref-type="fig" rid="f1">Graph 1</xref> shows that there is no reduction of power after 1988). The gray dotted line, on the other hand, illustrates Koerner&#x2019;s 2013 argument, exactly when the indicators of party fragmentation and judicial empowerment are aligned over time. This alignment suggests an extremely strong correlation between party fragmentation and judicial empowerment.
			</p>
			<p>The 1988 Constitution ignored Kelsen&#x2019;s concern to create a judiciary as powerful as that of the United States. And it went further, incorporating a softer model, but which in the Brazilian institutional design became extremely strong, since in Kelsen&#x2019;s conception, concentrated control should be exercised by an administrative body outside the three powers and not by the Judiciary, as it is in Brazil. Thus, the Brazilian model makes the Federal Supreme Court (from a prescriptive-normative point of view) an institutionally extremely powerful body. However, having the institutional power to act does not guarantee it will do so (contrary to Lijphart&#x2019;s argument). As in national model the Judiciary is inert, it is necessary that other bodies first provoke it. And these demands have in fact been gaining strength as the STF responds to them with what jurists call judicial activism.</p>
			<p>But what makes an elected political power to allow an unelected power to interfere with its actions in such a define way? Why does the Legislative and/or Executive endow the Judiciary with such strong institutional power (normative power)?</p>
			<sec>
				<title>
					<italic>II.1 Political Uncertainty and the Insurance Model</italic>
				</title>
				<p>John 
					<xref ref-type="bibr" rid="B16">Ferejohn (2002)</xref> uses the Madisonian institutional design to argue that the political space used for political criticism and contestation can suffer various forms of abuse in order to threaten the very operationalization of democracy. According to Ferejohn
				</p>
				<disp-quote>
					<p>Madison insisted that the spirit of faction can be dangerous to liberty and therefore, ultimately, to democracy. He also recognized, however, that in a republic, factions and parties, which serve to further both public and private interests, cannot be abolished without undermining republican government itself. At best, the politics of faction and party can be regulated or managed to limit the likely abuses. The most satisfactory form of regulation relies on the electoral process to correct political pathology. Of course, if democratic self-regulation fails, there are court-enforced constitutional safeguards that may be employed to limit abusive lawmaking (Ferejohn 2002, p. 50)
						<xref ref-type="fn" rid="fn12">
							<sup>12</sup>
						</xref>.
					</p>
				</disp-quote>
				<p>Ferejohn argues that, in contrast to the previous argument, the law or its application must occur within courts. Its application is controversial, but it is to be expected that in most cases, it is a technical matter of finding the correct principles under which the dispute is established. The duty of judges is to promote fair and non-biased courts before conflicting political parties can settle their disputes under previously established legal rules (Ferejohn 2002, p. 50). This model, continues Ferejohn, sees the courts as places where specific disputes are fought, not as an arena where general regulations are formulated. In other words, a Supreme Court as an effective mechanism to prevent the tyranny of the majority or popular passions, as Jon 
					<xref ref-type="bibr" rid="B14">Elster (2000</xref>, p. 156) pointed out, would become just one of its functions. Ferejohn offers two responses to this increase in the scope of the Judiciary (judicialization of politics).
				</p>
				<p>The first refers to the increase in the fragmentation of power within political powers, which limits the ability to legislate, or to be the place where public policies can be effectively formulated, that is, what Ferejohn calls the fragmentation hypothesis: when political powers cannot act, people who seek to resolve their conflicts will tend to gravitate towards institutions that can deliver solutions. The institutions that can offer this solution are the courts, especially where the legislature is divided (Ferejohn 2002, p. 55). The second concerns the expectation that some courts can be trusted to protect a wide range of important values against potential political abuse. This is the legal hypothesis.</p>
				<p>But what leads the constituents to include in the constitutional text judicial review mechanisms, capable of reviewing future legislative acts? According to 
					<xref ref-type="bibr" rid="B19">Ginsburg (2003</xref>, pp. 24-25), this depends on the positions of power of the constituents in post-constitutional governments, and the key factor they take into account is the uncertainty, at the moment of constitutional construction, of the future configuration policy. Ginsburg outlines two extreme scenarios that reinforce this argument. The first concerns a one-party scenario, where there are very few incentives to establish a neutral arbitrator to resolve disputes. The second concerns a scenario of many political forces, where no party is confident that it will remain in power in the next elections. When political forces are deadlocked or dispersed, no party can predict who will win the elections after the implementation of the Constitution. In other words, if there is no political party confident in the possibility of electoral victory, they will all prefer to limit the majority, and later, they will value minority institutions, such as judicial review. Ginsburg called this reasoning an insurance model of judicial review. In other words, the judicial review operates as an insurance policy against impasses and dispersions of political parties in the decision-making arena.
				</p>
				<p>The literature that addresses the theme of institutional construction points to other explanatory forms of this phenomenon (
					<xref ref-type="bibr" rid="B24">Ingram 2015</xref>). Despite the strength of the insurance model, which has a strong influence in countries of recent transition, as is the case in Brazil, it must be recognized that it is not sovereign. It is feasible to point out flaws in the argument that declining elites would have the strength to empower institutions in order to minimally preserve their interests (
					<xref ref-type="bibr" rid="B25">Ingram 2016</xref>). &#x201C;Likewise, the argument centered on the uncertainty arising from the increase in electoral competition is not able to explain the timing and content of these reforms&#x201D; (
					<xref ref-type="bibr" rid="B10">Da Ros 2017</xref>, p. 61).
				</p>
				<p>The so-called internal actors (members of the Judiciary) can also play a fundamental role in the formulation of these changes. They directly benefit from the strengthening of the courts, including, in some cases, overcoming the strength of the declining elites (
					<xref ref-type="bibr" rid="B9">Couso 
						<italic>et. al.</italic> 2010
					</xref>). Although we recognize the relevance and importance of competing theoretical explanations, we insist that, for the Brazilian case, the evidence of the insurance model gains prominence in the works that deepened the modus operandi of constitutional building.
				</p>
				<p>The influence of so-called legal actors in the process of achieving the Constitution is a peaceful point within Brazilian literature. However, this does not mean that there were no mediations built during the manufacturing process of the Constitution. In this case, the PMDB party was strongly favored by the principle of party proportionality, since, in addition to having the majority of the constituents (54,20% of the total), it had in its favor a flexible principle for the occupation of prominent positions. The eight reporting roles of the commissions were occupied by PMDB members, in flagrant disregard for the principle of party proportionality. In addition, PMDB was responsible for the reporting in thirteen subcommittees and for the chairmanship of another fifteen.</p>
				<p>Without going too far into the issues of the 1988 Constituent process, it is clear that the elite that negotiated the transition was not the decadent one. PMDB was the main opposition party to the regime and birthed all negotiations related to society&#x2019;s pressure groups (
					<xref ref-type="bibr" rid="B6">Coelho 1999</xref>). This was no different in the case of judicial empowerment.
				</p>
				<p>If during the constituency there were no major difficulties in converging the Madisonian and Kelsenian models of control over normative acts, the subsequent period also did not show any difficulties. Since the Ginsburg argument is for periods of constitutional building, it is in constitutional changes that most attention resides, since, as 
					<xref ref-type="bibr" rid="B30">Melo 2007</xref> said, it is not difficult to modify the Constitution, so the argument gains strength not only at each constitutional period , but with each amendment that modified the Judiciary itself. From 1891 to 2013 there were 29 modifications, seven by constitutions and 22 via constitutional amendments. Within these 22 amendments, ten (45,5%) were authored by the Legislative and twelve (54,5%) were authored by the Executive (all exogenous). The following graph illustrates the increase in the Judiciary&#x2019;s power from 1891 to 2015.
				</p>
				<p>It is evident that democratic governments contributed much more to the slope of the adjustment line than dictatorial governments (as illustrated in the 
					<xref ref-type="fig" rid="f3">Graph 3</xref>), which corroborates Ginsburg&#x2019;s argument. This will be made even clearer in section 4, where the data will provide even more robust responses. So far, both Ginsburg and Ferejohn have made a solid contribution to formulating the hypothesis that the greater the party fragmentation, the greater the empowerment of the judiciary.
				</p>
				<fig id="f3">
					<label>Graph 3</label>
					<caption>
						<title>Dispersion of Judiciary&#x2019;s Number of Words by Presidential Mandate between 1891 and 2015.</title>
					</caption>
					<graphic xlink:href="figura3.jpg"/>
					<attrib>Source: The authors, based on 
						<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
					</attrib>
					<attrib>Note: The variable used on the x-axis of 
						<xref ref-type="fig" rid="f3">Graph 3</xref> is the number of words of the judiciary (NPPJ), and the y-axis represents 25-year intervals, with the mandates of the presidents of the republic highlighted within the image. Thus, it is possible to show under which presidents there was a greater inclination in the empowerment of the judiciary through the number of words as a proxy for judicial empowerment.
					</attrib>
				</fig>
			</sec>
		</sec>
		<sec>
			<title>III. Methodology, methods and data</title>
			<p>The institutional changes implemented by the constitutions and their respective amendments were not random or bequeathed to chance, they were the result of a strategic calculation that took into account the very trajectory of the Brazilian political system. The institutional aspect is pressing in this analysis, since it analyzes what the institutions do, how they maintain themselves and how the actors behave. There are, therefore, two perspectives under which one takes into account, first a strategic calculation and second, the cultural aspects. 
				<xref ref-type="bibr" rid="B21">Hall &#x0026; Taylor (2003)</xref> argue that the individual&#x2019;s behavior is never entirely strategic, being limited by his worldview, that is, for culturalists individuals seek more satisfaction than optimization. The perspective of strategic calculation goes in the opposite direction, showing that institutions are maintained because they do something close to the Nash Equilibrium. Historical institutionalists, on the other hand, work with both perspectives when dealing with the relationship between institutions and action. According to Vict&#x00F3;ria 
				<xref ref-type="bibr" rid="B22">Hattam (1993)</xref>, the difference between institutional contexts has a direct impact on power relations.
			</p>
			<sec>
				<title>
					<italic>III.1 Creation of the iSTF indicator</italic>
				</title>
				<p>We adopted the dependent variable iSTF, developed by 
					<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>
					<xref ref-type="fn" rid="fn13">
						<sup>13</sup>
					</xref>, which is an indicator based on 
					<xref ref-type="bibr" rid="B36">Shugart &#x0026; Carey (1992)</xref> - who created an index of institutional powers for the President of the Republic from two dimensions, one is the power to legislate and the other concerns non-legislative powers, on a scale from zero (weak) to 4 (strong), in each dimension. Therefore, the dependent variable iSTF, can be represented by the following formula: 
					<italic>
						<bold>iSTF</bold>
					</italic> = 
					<italic>
						<bold>p</bold>
					</italic>(
					<italic>
						<bold>AA</bold>
					</italic>) + 
					<italic>
						<bold>j</bold>
					</italic>(
					<italic>
						<bold>gAP</bold>
					</italic>), the term 
					<italic>p</italic> means the active procedural capacity, that is, the ability to act by provoking an author with procedural legitimacy active 
					<italic>AA</italic>
					<xref ref-type="fn" rid="fn14">
						<sup>14</sup>
					</xref>. The term 
					<italic>j</italic> means the prerogative of judging actors constitutionally authorized to appear on the passive pole, whether in a group or individually 
					<italic>gAP</italic>
					<xref ref-type="fn" rid="fn15">
						<sup>15</sup>
					</xref>. This way, the agents that can sue are counted, together with the agents that can be sued, forming a set of institutional powers that authorize the STF to act in the most varied scenarios, as in diffuse/concentrated control and even in originary actions against public authorities , such as the President of the Republic, Parliamentarians and the highest echelons of the Cabinet. This indicator, therefore, measures the judicial empowerment of the Supreme Federal Court.
				</p>
			</sec>
			<sec>
				<title>
					<italic>III.2 Description, Sources and Measurement of Variables</italic>
				</title>
				<p>In addition to the iSTF, we highlight two independent variables, henceforth exogenous, to capture party fragmentation: Effective Number of Parties in the Chamber of Deputies (NEP), and the Minimum Number of Parties (NMP) to implement a constitutional change (as an alternative to NEP) . This measure was created by 
					<xref ref-type="bibr" rid="B32">Negretto 2013</xref>, to capture the exact number of parties with influence to implement constitutional changes, a situation that the NEP does not capture. In this sense, Negretto proposes the NMP as the size of the &#x201C;reform coalition&#x201D;: a discrete variable indicating the minimum number of parties necessary to form a coalition able to pass constitutional amendments. For him,
				</p>
				<disp-quote>
					<p>If one party controls 75 percent of the seats, the minimum number of parties to pass constitutional changes will be one, whether under absolute or qualified majority. If, however, the constituent body is composed of five parties sharing, say, 49, 16, 13, 12 and 10 percent of the seats, the minimum number of parties required to pass constitutional changes is either two or three depending on whether the decision rule is absolute or two-thirds (
						<xref ref-type="bibr" rid="B32">Negretto 2013</xref>, p. 85)
						<xref ref-type="fn" rid="fn16">
							<sup>16</sup>
						</xref>.
					</p>
				</disp-quote>
				<p>Thus, both NEP and NMP will be considered independent variables and used separately, since there is a strong correlation between them, which generates multicollinearity if they are present in the same model. In addition to these variables, we also use others based on 
					<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> and some from the Varieties of Democracy (V-DEM) dataset. The relationships between variables are described below. The first four variables are dependent, the first being the iSTF indicator followed by 
					<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> variables. The variables after the NEP are the independent ones and seek to measure political party fragmentation (NEP, NMP, F, Polyarchy and Political Competition). These last two were extracted from the Varieties of Democracy (V-DEM) dataset for the years under analysis. Regime is a binary variable measured to determine democratic (1) and authoritarian (0) periods, facilitating the creation of interactive terms capable of showing the marginal effect of political and party fragmentation in such periods. The iSTF synthetic indicator measures the number of prerogatives that the Federal Supreme Court has had over time, ranging from diffuse control of constitutionality to the concentrate, through the number of actors that can trigger such a judicial review mechanism, as well as by the authorities subject to Supreme Court, seeking to measure its institutional power
					<xref ref-type="fn" rid="fn17">
						<sup>17</sup>
					</xref>. The variable LJI
					<xref ref-type="fn" rid="fn18">
						<sup>18</sup>
					</xref> stands for Latent Judicial Independence and seeks to measure a unified measure for two hundred countries from 1948 to 2015 (
					<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>, p. 224). The XCONST variable is based on the Polity IV project and was designed to measure the extent to which decisions constrain the executive&#x2019;s discretionary power (
					<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>, p. 226). For statistical purposes, we recalculate this variable and create the variable XCONST_cat, an ordinal variable of three categories: weak (0 to 2), medium (3 and 4) and strong (5 and 6). The Polyarchy variable
					<xref ref-type="fn" rid="fn19">
						<sup>19</sup>
					</xref> (v2x_polyarchy) is an indicator that measures five components: &#x201C;elected incumbents&#x201D;, &#x201C;free and fair elections&#x201D;, &#x201C;freedom of expression&#x201D;, &#x201C;freedom of association&#x201D; and &#x201C;inclusive citizenship&#x201D; (Teorel 
					<italic>et. al.</italic> 2016, p. 2). It is intuitive to say that the higher the level of Polyarchy, the greater the level of political competition, and the greater the level of uncertainty due to party fragmentation, leading to judicial empowerment as a way of guaranteeing the limits of the political game. Finally, we used an exclusive variable for political competition (e_polcomp) from the V-Dem dataset (
					<xref ref-type="bibr" rid="B7">Coppedge 
						<italic>et. al.</italic> 2017a
					</xref>). The following tables (
					<xref ref-type="table" rid="t1">Table 1</xref>) show the statistical descriptions of the variables used.
				</p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Statistical Description of Variables</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="16%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">N</th>
								<th align="center" valign="top">Min</th>
								<th align="center" valign="top">Max</th>
								<th align="center" valign="top">Mean</th>
								<th align="center" valign="top">Standard deviation</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">iSTF</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">39</td>
								<td align="center" valign="top">137</td>
								<td align="center" valign="top">78.70</td>
								<td align="center" valign="top">36.519</td>
							</tr>
							<tr>
								<td align="left" valign="top">LJI</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">0.0798</td>
								<td align="center" valign="top">0.6378</td>
								<td align="center" valign="top">0.4028</td>
								<td align="center" valign="top">0.18106</td>
							</tr>
							<tr>
								<td align="left" valign="top">XCONST</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">6</td>
								<td align="center" valign="top">4.06</td>
								<td align="center" valign="top">2.157</td>
							</tr>
							<tr>
								<td align="left" valign="top">XCONST_cat</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">3</td>
								<td align="center" valign="top">2.31</td>
								<td align="center" valign="top">0.934</td>
							</tr>
							<tr>
								<td align="left" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">9</td>
								<td align="center" valign="top">6.12</td>
								<td align="center" valign="top">3.183</td>
							</tr>
							<tr>
								<td align="left" valign="top">NEP</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">1.66</td>
								<td align="center" valign="top">13.45</td>
								<td align="center" valign="top">5.2873</td>
								<td align="center" valign="top">3.20177</td>
							</tr>
							<tr>
								<td align="left" valign="top">NMP</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">9</td>
								<td align="center" valign="top">3.06</td>
								<td align="center" valign="top">2.833</td>
							</tr>
							<tr>
								<td align="left" valign="top">F (Rae)</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">0.501</td>
								<td align="center" valign="top">0.956</td>
								<td align="center" valign="top">0.8173</td>
								<td align="center" valign="top">0.18145</td>
							</tr>
							<tr>
								<td align="left" valign="top">Poliarquia</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">0.150</td>
								<td align="center" valign="top">0.892</td>
								<td align="center" valign="top">0.5345</td>
								<td align="center" valign="top">0.28160</td>
							</tr>
							<tr>
								<td align="left" valign="top">Regime</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.68</td>
								<td align="center" valign="top">0.471</td>
							</tr>
							<tr>
								<td align="left" valign="top">
									<bold>N Valid (</bold>
									<italic>listwise</italic>)
								</td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>, 
							<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>The period of anylisis is from 1945 to 2015, with the exception of Linzer &#x0026; Staton (2015) variables, which are only available from 1948 to 2015, and the political competition variable, from V-DEM, which begins in 1946. In addition to the variables described in 
					<xref ref-type="table" rid="t2">Table 2</xref>, we also used others from the V-Dem dataset, such as the Judicial Constraints on Executive Index (v2x_jucon) as well as the variables used for its calculation such as compliance with judiciary (v2jucomp), compliance with high court (v2juhccomp), high court Independence index (v2juhcind), and lower court Independence index (v2juncind). These indicators also measure the strength of the Judiciary. It was necessary to measure the relationship that the variables have among themselves, in order to avoid multicollinearity problems and to evaluate the use of a factor analysis to use transformed variables in order to reduce the number of variables used. On the next tables are the correlation matrices between the variables (
					<xref ref-type="table" rid="t2">Tables 2</xref> e 
					<xref ref-type="table" rid="t3">3</xref>).
				</p>
				<table-wrap id="t2">
					<label>Table 2</label>
					<caption>
						<title>Pearson&#x2019;s Correlation Matrix Between Dependent and Independent Variables</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="7%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top" colspan="4" style="border-bottom: thin solid;">Dependent Variables</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="7" style="border-bottom: thin solid;">Independent Variables</th>
							</tr>
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">iSTF</th>
								<th align="center" valign="top">LJI</th>
								<th align="center" valign="top">XCONST</th>
								<th align="center" valign="top">XCONST_cat</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">NEP</th>
								<th align="center" valign="top">NMP</th>
								<th align="center" valign="top">F</th>
								<th align="center" valign="top">Polyarchy</th>
								<th align="center" valign="top">Regime</th>
								<th align="center" valign="top">Political Competition</th>
								<th align="center" valign="top">Fragmentation Indicator 
									<xref ref-type="table-fn" rid="TFN2">
										<sup>I</sup>
									</xref>
								</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">iSTF</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.590
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.631
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.501
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.873
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.926
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.421
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.894
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.466
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.680
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.862
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">LJI</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.899
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.849
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.658
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.490
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.650
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.842
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.781
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.887
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.808
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">64</td>
							</tr>
							<tr>
								<td align="left" valign="top">XCONST</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.975
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.735
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.542
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.789
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.880
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.932
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.966
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.905
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">64</td>
							</tr>
							<tr>
								<td align="left" valign="top">XCONST_cat</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.641
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.436
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.809
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.788
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.939
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.930
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.827
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">64</td>
							</tr>
							<tr>
								<td align="left" valign="top">NEP</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.834
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.671
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.896
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.628
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.772
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.944
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">NMP</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.394
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.775
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.410
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.591
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.811
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">F</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.661
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.801
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.796
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.802
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Polyarchy</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.758
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.914
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.966
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Regime</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.881
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
								<td align="center" valign="top">0.790
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Political Competition</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.919
									<xref ref-type="table-fn" rid="TFN1">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Fragmentation</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Indicator</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>, 
							<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
						<fn id="TFN1">
							<label>**</label>
							<p>The correlation is significant at the 0.01 (bilateral) level.</p>
						</fn>
						<fn id="TFN2">
							<label>I</label>
							<p>Variable created from factor analysis, as explained on section III.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<table-wrap id="t3">
					<label>Table 3</label>
					<caption>
						<title>Pearson&#x2019;s Correlation Matrix with Disaggregated Judicial Variables and Political and Party Fragmentation</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="7%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top" colspan="5" style="border-bottom: thin solid;">Dependent Variables (disaggregated)</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="6" style="border-bottom: thin solid;">Independent Variables</th>
							</tr>
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">Judiciary Constraints on Executive Index</th>
								<th align="center" valign="top">Compliance with Judiciary</th>
								<th align="center" valign="top">Compliance with High Court</th>
								<th align="center" valign="top">High Court Independence Index</th>
								<th align="center" valign="top">Lower Court Independence Index</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">NEP</th>
								<th align="center" valign="top">NMP</th>
								<th align="center" valign="top">F</th>
								<th align="center" valign="top">Polyarchy</th>
								<th align="center" valign="top">Political Competition</th>
								<th align="center" valign="top">Fragmentation Indicator</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">Judiciary Constraints on Executive Index</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.910
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.980
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.889
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.867
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.892
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.819
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.683
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.976
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.909
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.970
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Compliance with Judiciary</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.851
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.832
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.860
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.807
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.847
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.481
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.850
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.748
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.847
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Compliance with High Court</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.823
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.800
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.843
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.748
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.671
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.972
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.912
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.942
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">High Court Independence Index</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.946
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.890
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.898
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.534
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.842
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.681
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.868
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Lower Court Independence Index</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.856
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.928
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.470
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.803
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.638
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.834
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">NEP</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.834
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.671
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.896
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.772
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.944
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">NMP</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.394
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.775
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.591
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.811
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">F</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.661
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.796
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.802
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Polyarchy</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.914
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
								<td align="center" valign="top">0.966
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Political Competition</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.919
									<xref ref-type="table-fn" rid="TFN3">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Fragmentation Indicator</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
						<fn id="TFN3">
							<label>**.</label>
							<p>The correlation is significant at the 0.01 (bilateral) level.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<p>The first five variables were collected from the Varieties of Democracy (V-DEM) dataset for the period 1945-2015, measuring independence and judicial strength in constraining the Executive. As they are extremely correlated with each other, it is more appropriate to reduce them to a single factor through factor analysis. We will call this unique factor the 
					<bold>Judicial Indicator from V-DEM</bold>. In the other independent variables (NEP, NMP, F, Polyarchy and Political Competition), which have already been previously explained, it is possible to verify an extremely high and significant correlation (except for the Fragmentation Indicator, which is the result of the factor analysis and carries a high load of variance of all other independent variables). In other words, the one-factor factorial analysis proved to be quite right to aggregate this information and facilitate a single model of ordinary least squares &#x2013; OLS. The factor analysis is described in the table below.
				</p>
				<p>Due to this association between variables, the ideal thing to do is a factor analysis. According to 
					<xref ref-type="bibr" rid="B20">Hair 
						<italic>et. al.</italic> (2005
					</xref>, p. 89), &#x201C; factor analysis can be utilized to examine the underlying patterns or relationships for a large number of variables and to determine whether the information can be condensed or summarized in a smaller set of factors or components.&#x201D; This type of analysis is a multivariate technique of statistical methods, whose purpose is to define the underlying structure in a data matrix (
					<xref ref-type="bibr" rid="B20">Hair 
						<italic>et. al.</italic> 2005
					</xref>, p. 91). The independent variables also follow the same correlation pattern as shown below. The extraction method is that of principal components with varimax rotation with 25 interactions by convergence. The factor was saved by a regression method whose variable will be standardized, as will be seen later.
				</p>
				<p>
					<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior (2010)</xref> didactically establish three stages of planning a factor analysis. First, there are four assumptions to be satisfied: 1) minimum number of cases between 50 and 100 and the ratio of 5 cases for each variable. Although there are not 100 cases, which, according to 
					<xref ref-type="bibr" rid="B20">Hair 
						<italic>et. al.</italic> (2005)
					</xref>, would be ideal for a more robust result, the ratio between the number of cases and the number of variables must be greater than five to one. Thus, with 29 events and three variables, this assumption was satisfied. 2) the correlation coefficients between the variables must be above 0,30. For both correlation tables, it is clear that this assumption was also satisfied. 3) the Kaiser-Meyer-Olklin (KMO) test, which varies between 0 and 1 (the closer to 1, the better). For 
					<xref ref-type="bibr" rid="B20">Hair 
						<italic>et. al.</italic> 2005
					</xref>, a KMO of 0.50 is considerably acceptable. 4) Bartlett&#x2019;s Test of Sphericity (BTS) must have a p value &#x003C; 0.05. 
					<xref ref-type="table" rid="t4">Table 4</xref>, below, shows the coefficients of these two tests both in relation to the dependent variables and in relation to the independent variables (
					<xref ref-type="table" rid="t4">Table 4</xref>).
				</p>
				<table-wrap id="t4">
					<label>Table 4</label>
					<caption>
						<title>Kaiser-Meyer-Olkin Test (KMO) and Bartlett&#x2019;s Sphericity Test</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="33%">
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top">Tests</th>
								<th align="center" valign="top">Judicial Indicator from V-DEM</th>
								<th align="center" valign="top">Fragmentation Indicator</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">Kaiser-Meyer-Olkin (KMO)</td>
								<td align="center" valign="top">0.728</td>
								<td align="center" valign="top">0.716</td>
							</tr>
							<tr>
								<td align="left" valign="top">BTS</td>
								<td align="center" valign="top">0.000</td>
								<td align="center" valign="top">0.000</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>Having overcome this first stage of satisfaction of the assumptions, the second is centered on the factor extraction technique: main components, main factors, image factorization, maximum likelihood factorization, alpha factorization, unweighted least squares and least squares (
					<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 167). The authors show that both principal component analysis (PCA) and factor analysis (PA) &#x201C;seek to produce linear combinations of variables that capture as much of the variance of the observed variables as possible&#x201D; (
					<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 167). Regarding the best technique, the authors show that
				</p>
				<disp-quote>
					<p>For 
						<xref ref-type="bibr" rid="B18">Garson 2009</xref>, &#x201C;principal component analysis is generally preferred for data reduction purposes (translating the space of variables into an optimal factor space), while factor analysis is generally preferred when the objective of the research is to detect the structure data or causal modeling &#x201D;. According to Hair 
						<italic>et al.</italic>, 2006, in most cases both the ACP and the AF reach the same results if the number of variables exceeds 30 or if the communalities exceed 0.60 for most variables. This article will use the principal component method as it is the most used 
						<xref ref-type="bibr" rid="B34">PALLANT, 2007</xref>. (
						<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 167, our own translation).
					</p>
				</disp-quote>
				<p>The technique used in this research to reduce these two categories of variables to two factors is that of principal components, by which the total amount of variance that an original variable shares with all other variables included in the analysis is measured. The issue now becomes the number of factors (
					<xref ref-type="table" rid="t5">Table 5</xref>).
				</p>
				<table-wrap id="t5">
					<label>Table 5</label>
					<caption>
						<title>Eigenvalues
							<xref ref-type="table-fn" rid="TFN4">*</xref> (Kaiser&#x2019;s Criteria for the use of factorial analysis)
						</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="9%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top" colspan="5" style="border-bottom: thin solid;">Judicial Indicator from the V-DEM</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="5" style="border-bottom: thin solid;">Fragmentation Indicator</th>
							</tr>
							<tr>
								<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">Components</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">
									<italic>Initial Eigenvalues</italic>
								</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">Components</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">
									<italic>Initial Eigenvalues</italic>
								</th>
							</tr>
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">Total</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">% of variance</th>
								<th align="center" valign="top">Cumulative %</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">Total</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">% of variance</th>
								<th align="center" valign="top">Cumulative %</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">1</td>
								<td align="center" valign="top">4.504</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">90.073</td>
								<td align="center" valign="top">90.073</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">3.97</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">79.405</td>
								<td align="center" valign="top">79.405</td>
							</tr>
							<tr>
								<td align="left" valign="top">2</td>
								<td align="center" valign="top">0.286</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">5.719</td>
								<td align="center" valign="top">95.792</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">2</td>
								<td align="center" valign="top">0.667</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">13.331</td>
								<td align="center" valign="top">92.736</td>
							</tr>
							<tr>
								<td align="left" valign="top">3</td>
								<td align="center" valign="top">0.156</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">3.123</td>
								<td align="center" valign="top">98.915</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">3</td>
								<td align="center" valign="top">0.227</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">4.531</td>
								<td align="center" valign="top">97.267</td>
							</tr>
							<tr>
								<td align="left" valign="top">4</td>
								<td align="center" valign="top">0.048</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.954</td>
								<td align="center" valign="top">99.869</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">4</td>
								<td align="center" valign="top">0.105</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">2.091</td>
								<td align="center" valign="top">99.358</td>
							</tr>
							<tr>
								<td align="left" valign="top">5</td>
								<td align="center" valign="top">0.007</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.131</td>
								<td align="center" valign="top">100</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">5</td>
								<td align="center" valign="top">0.032</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0.642</td>
								<td align="center" valign="top">100</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN4">
							<label>*</label>
							<p>Based on Garson (2009), the greater the eigenvalue, the greater the explanatory contribution of the variance of the variables, that is, the greater the eigenvalue, the greater the variance load that the factor accumulates.</p>
						</fn>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
					</table-wrap-foot>
				</table-wrap>
				<disp-quote>
					<p>Here the researcher faces a trade off between parsimony and explanation. The more factors are extracted, the lower the degree of parsimony, however, the greater the total amount of variance by the factors. On the other hand, the less factors are extracted, the greater the degree of parsimony, however, the smaller the total amount of variance carried by the factors. Thus, the optimal solution is to identify the minimum number of factors, which maximizes the amount of total explained variance. (
						<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 168, our own translation).
					</p>
				</disp-quote>
				<p>According to these authors, the eigenvalue rule (Kaiser&#x2019;s criterion) suggests that only factors with eigenvalue above 1 should be extracted, since &#x201C;the factor with low eigenvalue is contributing little to explain the variance in the original variables&#x201D; (
					<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 168, our own translation). For them, the second stage of the factor analysis planning must follow by: 1) type of extraction (which, in the case of this work, is that of the main components); 2) Kaiser&#x2019;s rule, where only factors with eigenvalue above 1 must be extracted; 3) the accumulated variance must be above 60%. The following tables summarize this data for both dependent and independent variables (
					<xref ref-type="table" rid="t6">Table 6</xref>).
				</p>
				<table-wrap id="t6">
					<label>Table 6</label>
					<caption>
						<title>Description of factored variables</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="16%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">N</th>
								<th align="center" valign="top">Min</th>
								<th align="center" valign="top">Max</th>
								<th align="center" valign="top">Mean</th>
								<th align="center" valign="top">Standard deviation</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">Judicial Indicator from the V-DEM</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">-1.17919</td>
								<td align="center" valign="top">1.97663</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">1</td>
							</tr>
							<tr>
								<td align="left" valign="top">Fragmentation Indicator</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">-1.44771</td>
								<td align="center" valign="top">1.65899</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">1</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>Below we show the relationship between the factored variables and the other independent variables. It is possible to verify, therefore, that the relation of a single dependent variable factored with the other independent variables has not been much altered, allowing the use of a simple linear model (OLS) (
					<xref ref-type="table" rid="t7">Table 7</xref>).
				</p>
				<table-wrap id="t7">
					<label>Table 7</label>
					<caption>
						<title>Pearson&#x2019;s Correlation Matrix with factorized dependent variable</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="12%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">Indicator Judicial (V-DEM)</th>
								<th align="center" valign="top">NEP</th>
								<th align="center" valign="top">NMP</th>
								<th align="center" valign="top">F</th>
								<th align="center" valign="top">Polyarchy</th>
								<th align="center" valign="top">Political Competition</th>
								<th align="center" valign="top">Fragmentation Indicator</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">IndicatorJudicial (V-DEM)</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.904
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.893
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.599
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.937
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.819
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.940
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">NEP</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.834
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.671
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.896
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.772
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.944
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">NMP</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.394
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.775
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.591
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.811
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">F</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.661
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.796
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.802
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Polyarchy</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.914
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
								<td align="center" valign="top">0.966
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Political Competition</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0.919
									<xref ref-type="table-fn" rid="TFN5">**</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">69</td>
							</tr>
							<tr>
								<td align="left" valign="top">Fragmentation Indicator</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN5">
							<label>**.</label>
							<p>The correlation is significant at the 0.01 (bilateral) level.</p>
						</fn>
						<attrib>Source: The authors with data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> and 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref>.
						</attrib>
					</table-wrap-foot>
				</table-wrap>
			</sec>
		</sec>
		<sec>
			<title>IV. Formal models and data analysis</title>
			<p>Due to the nature and distribution of variables, to test the hypothesis that the greater the party fragmentation, the greater the judicial empowerment, two inferential statistical techniques were adopted: the negative binomial, which is part of the generalized linear models and the minimal classic ordinary squares (OLS) of simple linear models. The choice of technique was due to the distribution of the dependent variable, which in this case violates the rules of the linear model, the main one being the normal distribution. The generalized linear models seek to face variables that do not have a normal distribution, more precisely, they seek to meet typical distributions of counts. Several studies give theoretical support to the generalized linear models, especially those of 
				<xref ref-type="bibr" rid="B33">Nelder &#x0026; Wedderburn 1972</xref>, 
				<xref ref-type="bibr" rid="B15">Feigl &#x0026; Zelen 1965</xref>, 
				<xref ref-type="bibr" rid="B3">Berkson 1944</xref>, and 
				<xref ref-type="bibr" rid="B13">Dyke &#x0026; Petterson 1952</xref>.
			</p>
			<p>The dependent variables are in the first line, followed by the techniques used. The independent variables are in the first column on the left. Three models (in parentheses) were made for each technique. The first model is the unrestricted one, with all independent variables to verify multicollinearity and to seek a more adjusted, more parsimonious model, which we call model 2, where only the variables that resisted the multicollinearity test (VIF - Variance Inflation Factor) were maintained. The third model, on the other hand, necessarily has the indicator of political party fragmentation as the only independent variable, through factor analysis of the other independent variables. The models are shown in the tables below, and after that we have the analyzes (
				<xref ref-type="table" rid="t8">Tables 8</xref> and 
				<xref ref-type="table" rid="t9">9</xref>).
			</p>
			<table-wrap id="t8">
				<label>Table 8</label>
				<caption>
					<title>Simple Linear (OLS) and Negative Binomial Regression Models</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="6%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" valign="top">Dependent &#x00A0;Variables</th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">iSTF</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">LJI (Latent Judicial Independence Index)</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">XCONST</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">Judicial Indicator (V-DEM)</th>
						</tr>
						<tr>
							<th align="left" valign="top">[technique]</th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[Negative Binomial]</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[MQO]</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[Negative Binomial]</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[MQO]</th>
						</tr>
						<tr>
							<th align="left" valign="top">(model)</th>
							<th align="center" valign="top">(1)</th>
							<th align="center" valign="top">(2)</th>
							<th align="center" valign="top">(3)</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top">(1)</th>
							<th align="center" valign="top">(2)</th>
							<th align="center" valign="top">(3)</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top">(1)</th>
							<th align="center" valign="top">(2)</th>
							<th align="center" valign="top">(3)</th>
							<th align="center" valign="top"></th>
							<th align="center" valign="top">(1)</th>
							<th align="center" valign="top">(2)</th>
							<th align="center" valign="top">(3)</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" valign="top">NEP</td>
							<td align="center" valign="top">0.9904</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">-0.0024
								<xref ref-type="table-fn" rid="TFN6">**</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.9644</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">-0.0028</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">NMP</td>
							<td align="center" valign="top">1.0504
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top">1.1143
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">-0.0081</td>
							<td align="center" valign="top">-0.0025</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.9984</td>
							<td align="center" valign="top">0.9799</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.1547
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top">0.1480
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">F</td>
							<td align="center" valign="top">0.6515
								<xref ref-type="table-fn" rid="TFN6">**</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.044</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">4.8309*</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.1135</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">Polyarchy</td>
							<td align="center" valign="top">7.3364
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.5395
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">1.1236</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">2.0031
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top">2.1717
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">Political Competition</td>
							<td align="center" valign="top">0.9365
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top">1.0393
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.0263
								<xref ref-type="table-fn" rid="TFN6">**</xref>
							</td>
							<td align="center" valign="top">0.0508
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">1.1675
								<xref ref-type="table-fn" rid="TFN6">**</xref>
							</td>
							<td align="center" valign="top">1.2303
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.0134</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">Fragmentation Indicator</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">1.4546
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.1494
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">1.5321
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.9247
								<xref ref-type="table-fn" rid="TFN7">***</xref>
							</td>
						</tr>
						<tr>
							<td align="left" valign="top">Log Likelihood</td>
							<td align="center" valign="top">-227.214</td>
							<td align="center" valign="top">-276.888</td>
							<td align="center" valign="top">-291.784</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">-102.504</td>
							<td align="center" valign="top">-104.314</td>
							<td align="center" valign="top">-122.951</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">Pseudo R2</td>
							<td align="center" valign="top">0.3291</td>
							<td align="center" valign="top">0.1825</td>
							<td align="center" valign="top">0.1385</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.2735</td>
							<td align="center" valign="top">0.2607</td>
							<td align="center" valign="top">0.1515</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">Prob. Chi2</td>
							<td align="center" valign="top">1</td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.497</td>
							<td align="center" valign="top">0.499</td>
							<td align="center" valign="top">0.5</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">R2 Ajustado</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.812</td>
							<td align="center" valign="top">0.781</td>
							<td align="center" valign="top">0.647</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0.9486</td>
							<td align="center" valign="top">0.946</td>
							<td align="center" valign="top">0.8552</td>
						</tr>
						<tr>
							<td align="left" valign="top">Prob. (F)</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top">0</td>
						</tr>
						<tr>
							<td align="left" valign="top">N</td>
							<td align="center" valign="top">69</td>
							<td align="center" valign="top">69</td>
							<td align="center" valign="top">71</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">64</td>
							<td align="center" valign="top">64</td>
							<td align="center" valign="top">65</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">64</td>
							<td align="center" valign="top">64</td>
							<td align="center" valign="top">65</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top">61</td>
							<td align="center" valign="top">71</td>
							<td align="center" valign="top">71</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN6">
						<label>**</label>
						<p>
							<italic>p</italic>-value &#x003C; 0.05,
						</p>
					</fn>
					<fn id="TFN7">
						<label>***</label>
						<p>
							<italic>p</italic>-value &#x003C; 0.01.
						</p>
					</fn>
					<attrib>Source: The authors Barbosa data 2015 Coppedge 
						<italic>et. al.</italic> 2017th and 
						<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>.
					</attrib>
				</table-wrap-foot>
			</table-wrap>
			<table-wrap id="t9">
				<label>Table 9</label>
				<caption>
					<title>Multinomial Regression Model (logit and probit)</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="33%">
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" valign="top">Independent Variables</th>
							<th align="center" valign="top">Fragmentation Indicator</th>
							<th align="center" valign="top">Fragmentation Indicator</th>
						</tr>
						<tr>
							<th align="left" valign="top">[t&#x00E9;cnica]</th>
							<th align="center" valign="top">[Logit Multinomial]</th>
							<th align="center" valign="top">[Probit Multinomial]</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" valign="top">XCONST_cat</td>
							<td align="center" valign="top"></td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">weak(base category)</td>
							<td align="center" valign="top">-</td>
							<td align="center" valign="top">-</td>
						</tr>
						<tr>
							<td align="left" valign="top">Medium</td>
							<td align="center" valign="top">3.586
								<xref ref-type="table-fn" rid="TFN8">**</xref>
							</td>
							<td align="center" valign="top">2.6275
								<xref ref-type="table-fn" rid="TFN9">***</xref>
							</td>
						</tr>
						<tr>
							<td align="left" valign="top">Strong</td>
							<td align="center" valign="top">4.7777
								<xref ref-type="table-fn" rid="TFN9">***</xref>
							</td>
							<td align="center" valign="top">3.6622
								<xref ref-type="table-fn" rid="TFN9">***</xref>
							</td>
						</tr>
						<tr>
							<td align="left" valign="top">Log Likelihood</td>
							<td align="center" valign="top">-25.48</td>
							<td align="center" valign="top">-25.383</td>
						</tr>
						<tr>
							<td align="left" valign="top">Pseudo R2</td>
							<td align="center" valign="top">0.5086</td>
							<td align="center" valign="top"></td>
						</tr>
						<tr>
							<td align="left" valign="top">Prob. Chi2</td>
							<td align="center" valign="top">0</td>
							<td align="center" valign="top">0.0001</td>
						</tr>
						<tr>
							<td align="left" valign="top">N</td>
							<td align="center" valign="top">65</td>
							<td align="center" valign="top">65</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN8">
						<label>**</label>
						<p>
							<italic>p</italic>-value &#x003C; 0.05,
						</p>
					</fn>
					<fn id="TFN9">
						<label>***</label>
						<p>
							<italic>p</italic>-value &#x003C; 0.01.
						</p>
					</fn>
					<attrib>Source: The authors.</attrib>
				</table-wrap-foot>
			</table-wrap>
			<p>The data corroborate the hypotheses that the greater the political and party fragmentation, the greater the tendency for the Judiciary to be empowered. For the test of the iSTF indicator, the variables NMP and Political Competition showed a positive impact on the indicator. As the values are exponentialized, the interpretation is that the increase of one unit in the minimum number of parties increases the chance of the Judiciary being strengthened by 11,43%. The increase of one unit in political competition, on the other hand, increases the chance of 3.93%. The fragmentation indicator is more complex, as it varies in standard deviations. Therefore, the increase of a standard deviation in the indicator produces a 45,46% chance increase in the iSTF indicator. The most intuitive is to stick with model two. In any case, both model 2 and model 3 show that the greater the political and party fragmentation, the stronger the judiciary becomes.</p>
			<p>For Linzer &#x0026; Staton&#x2019;s 2015 LJI (Latent Judicial Independence) variable test, only one variable was statistically significant in the parsimonious model. As the linear model is simple, an increase of one unit in political competition produces an increase of 0.05 in the LJI unit, which ranges from 0.079 to 0.637. Model three points out that the increase in a standard deviation in the fragmentation indicator produces an increase of 0.1494 in the LJI. In both cases it is quite intuitive to say that, again, but with other forms of measurement for the judiciary, the increase in fragmentation increases the indicators that measure the power of the judiciary.</p>
			<p>For the test of the XCONST variable, again only the political competition variable was statistically significant, where the increase of one unit causes an increase of 23,03% in the dependent variable that measures the level of embarrassment of the judiciary over the Executive. The fragmentation indicator points to an increase of 53,21%.</p>
			<p>For the test of the factorized variable V-Dem Judicial Index, two variables were statistically important: NMP and polyarchy. It means that the increase of one unit in these variables increases by 0,1480 and 2,1717 standard deviations in the dependent variable, respectively. The fragmentation indicator, on the other hand, produces an increase of 0,9247 standard deviation. Then the test for the variable XCONST categorized in 3 levels.</p>
			<p>For the ordinal variable, the multinomial technique (mlogit in STATA) was used and we chose the weak category to be the base result. In comparison to a weak constraint, there is more likely to be a medium constraint if there is an increase in party political fragmentation. There is even more likely to be a strong constraint compared to the weak category. The marginal effects also showed this. In the probit model, it reads practically the same way, there is a greater probability of medium constraint and even greater in strong constraint, compared with weak constraint, when a unit is increased in the dependent variable, which, because it is factored, this unit corresponds to a standard deviation, which is a very high value, but it is interesting to measure the impact (whether positive or negative, and its intensity) (
				<xref ref-type="table" rid="t10">Table 10</xref>).
			</p>
			<table-wrap id="t10">
				<label>Table 10</label>
				<caption>
					<title>Marginal Effects</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="20%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" valign="top"></th>
							<th align="center" valign="top">Variable Fragmentation Indicator</th>
							<th align="center" valign="top">Dy/dx</th>
							<th align="center" valign="top">Standard Error</th>
							<th align="center" valign="top">P&#x0026;gt;|z|</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" valign="top">logit</td>
							<td align="center" valign="top">Weak</td>
							<td align="center" valign="top">-0.3088</td>
							<td align="center" valign="top">0.139</td>
							<td align="center" valign="top">0.027</td>
						</tr>
						<tr>
							<td align="left" valign="top"></td>
							<td align="center" valign="top">Medium</td>
							<td align="center" valign="top">-0.0595</td>
							<td align="center" valign="top">0.078</td>
							<td align="center" valign="top">0.446</td>
						</tr>
						<tr>
							<td align="left" valign="top"></td>
							<td align="center" valign="top">Strong</td>
							<td align="center" valign="top">0.3684</td>
							<td align="center" valign="top">0.147</td>
							<td align="center" valign="top">0.012</td>
						</tr>
						<tr>
							<td align="left" valign="top">probit</td>
							<td align="center" valign="top">Weak</td>
							<td align="center" valign="top">-0.4007</td>
							<td align="center" valign="top">0.145</td>
							<td align="center" valign="top">0.006</td>
						</tr>
						<tr>
							<td align="left" valign="top"></td>
							<td align="center" valign="top">Medium</td>
							<td align="center" valign="top">-0.0464</td>
							<td align="center" valign="top">0.081</td>
							<td align="center" valign="top">0.570</td>
						</tr>
						<tr>
							<td align="left" valign="top"></td>
							<td align="center" valign="top">Strong</td>
							<td align="center" valign="top">0.4471</td>
							<td align="center" valign="top">0.147</td>
							<td align="center" valign="top">0.002</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<attrib>Source: The authors.</attrib>
				</table-wrap-foot>
			</table-wrap>
			<p>
				<xref ref-type="table" rid="t10">Table 10</xref> shows the marginal effects after the multinomial logit model, where it can be seen that the increase of one unit (standard deviation) in the fragmentation indicator, there is a 36,84% probability of having a strong constraint from the Judiciary over the Executive. In the probit model, the marginal effects are practically the same. There is a greater likelihood of a strong constraint compared to a weak one, when increasing a unit in the independent variable.
			</p>
			<sec>
				<title>IV.1 Interactive Terms
					<xref ref-type="fn" rid="fn20">
						<sup>20</sup>
					</xref>
				</title>
				<p>The regime variable (1 = democracy, 0 = dictatorship) was used only to measure the effect of party-political fragmentation on judicial empowerment in the different types of regime faced by Brazil. Thus, the interactive term was created from the independent variable that was shown to be statistically significant in all of the above models, so we opted for the fragmentation indicator (FragFac). The results of the fragmentation and regime interaction are shown in the 
					<xref ref-type="table" rid="t11">Table 11</xref>.
				</p>
				<table-wrap id="t11">
					<label>Table 11</label>
					<caption>
						<title>Impact of Fragmentation on Empowerment in different regimes (interactive terms)</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="25%">
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top">Dependent Variable</th>
								<th align="center" valign="top">Regime</th>
								<th align="center" valign="top">iSTF</th>
								<th align="center" valign="top">Judicial Indicator (V-DEM)</th>
							</tr>
							<tr>
								<th align="left" valign="top">[technique]</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">[Negative Binomial]</th>
								<th align="center" valign="top">[MQO]</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">Interactive Term</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Fragmentation Indicator</td>
								<td align="center" valign="top">0 (dictatorship)</td>
								<td align="center" valign="top">1.1177
									<xref ref-type="table-fn" rid="TFN10">**</xref>
								</td>
								<td align="center" valign="top">0.7130
									<xref ref-type="table-fn" rid="TFN11">***</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">1 (democracy)</td>
								<td align="center" valign="top">1.6947
									<xref ref-type="table-fn" rid="TFN11">***</xref>
								</td>
								<td align="center" valign="top">1.0606
									<xref ref-type="table-fn" rid="TFN11">***</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top">Log Likelihood</td>
								<td align="center" valign="top">-286.326</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Pseudo R2</td>
								<td align="center" valign="top">0.1775</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Prob,&#x00A0;Chi2</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">R2 Adjusted</td>
								<td align="center" valign="top">0.8675</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Prob,&#x00A0;(F)</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">N</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top"></td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN10">
							<label>**</label>
							<p>
								<italic>p</italic>-value &#x003C; 0.05,
							</p>
						</fn>
						<fn id="TFN11">
							<label>***</label>
							<p>
								<italic>p</italic>-value &#x003C; 0.01.
							</p>
						</fn>
						<attrib>Source: The authors.</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>It is evident that, when the period is democratic, the impact of fragmentation on judicial empowerment is even greater, and this is quite intuitive since dictators do not usually accept challenges, specially from within the three branches. Although there was a discreet judicial empowerment during dictatorial periods, the only actor with the capacity to file constitutional actions was the Attorney General, with the free and exclusive appointment of the President of the Republic throughout the dictatorial regime, thus controlling the demands presented to the Supreme Court. This is more evident in the graph below.</p>
				<p>The image on the left shows the interaction of political fragmentation with the regime impacting the iSTF indicator, while the image on the right shows the impact of fragmentation on the V-Dem Judicial Index indicator. In both cases, it is possible to verify the effect of the political regime on the empowerment of the Judiciary. Finally, based on the data from 
					<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>, we verified a bank with 23 constitutional amendments that modified the powers and prerogatives of the Judiciary in the Brazilian constitutions from 1891 to 2013. The following table organizes this information (
					<xref ref-type="fig" rid="f4">Graph 4</xref>).
				</p>
				<fig id="f4">
					<label>Graph 4</label>
					<caption>
						<title>Marginal Effect of Political Fragmentation on Judicial Empowerment</title>
					</caption>
					<graphic xlink:href="figura4.jpg"/>
					<attrib>Source: The authors, based on 
						<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
					</attrib>
				</fig>
				<p>In relation to who contributed most to amend constitutional texts to empower the Judiciary, the following table of cross references summarizes the data (
					<xref ref-type="table" rid="t12">Table 12</xref>).
				</p>
				<table-wrap id="t12">
					<label>Table 12</label>
					<caption>
						<title>Authorship and Regime by constitutional amendments from 1891 to 2013</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="25%">
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">Legislative</th>
								<th align="center" valign="top">Executive</th>
								<th align="center" valign="top">Total</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">Democracy</td>
								<td align="center" valign="top">5 (50)</td>
								<td align="center" valign="top">5 (50)</td>
								<td align="center" valign="top">10 (100)</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">[50]</td>
								<td align="center" valign="top">[41.6]</td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Dictatorship</td>
								<td align="center" valign="top">5 (41.6)</td>
								<td align="center" valign="top">7 (58.4)</td>
								<td align="center" valign="top">12 (100)</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">[50]</td>
								<td align="center" valign="top">[58.4]</td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Total</td>
								<td align="center" valign="top">10 (45.5)</td>
								<td align="center" valign="top">12 (54.5)</td>
								<td align="center" valign="top">22 (100)</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">[100]</td>
								<td align="center" valign="top">[100]</td>
								<td align="center" valign="top">[100]</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Source: The authors, based on data from 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
						</attrib>
						<attrib>Note: Lines frequencies are in parentheses and columns frequencies are in brackets.</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>Of the 22 amendments, the Executive was the author of 54,5%. In the dictatorial regime this participation was even greater, remembering that during the dictatorial regime, the control ofABSTRACT constitutionality was the exclusive authorship of the Attorney General, who was the exclusive and free nomination of the President of the Republic, having this total control over theABSTRACT review. This shows that not only the Legislative, but mainly the Executive had a lot of interest and initiative to increase the prerogatives of the Judiciary.</p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>V. Conclusions</title>
			<p>If, in the resumption of democratic discussion in post-absolutism models Parliament was the central institution, there is no doubt that in the post-war period the Judiciary came to play a prominent role, especially in times of political crisis, where political alignment (or necessary coalitions) had become a key point for the proper functioning of democracies. There is no denying that today the Supreme Courts have become a key player in the decision-making process, given the inability of the elected powers to resolve political impasses. What was in Montesquieu&#x2019;s words &#x201C;almost nothing&#x201D;, or according to Aliomar Baleeiro (1968) &#x201C;an unknown&#x201D;, became the Queen of a chess game.</p>
			<p>In Brazil, this process, although consolidated by the 1988 Constitution, continued to evolve, giving the Supreme Federal Court the chance to exercise a decision-making capacity not provided for in the constitutional text. The models were forceful in demonstrating that party fragmentation has a positive and statistically significant impact on the increase in power of the Supreme Federal Court and this impact is stronger in the democratic period when compared to the dictatorial period. It was also proven that the increase in the power of the STF was mainly due to constitutional amendments, of which the Executive was the author of most. As previously mentioned, other variables may have a relative weight in explaining specific decisions, such as the Courts&#x2019; own endogenous decision-making dynamics, an exclusive source of self-empowerment.</p>
			<p>The current moment of political crisis and the increasingly attentive eyes to the decisions of the ministers of our supreme court corroborate the growing trajectory of institutional empowerment, which authorizes the court to decide peremptorily, and not only within the process of drafting public policies, but also about the government&#x2019;s own definition and the freedom of its members involved in scandals. The impasses that the country is experiencing recently increase the demand for decisions of the Supreme Federal Court. Therefore, the solution that has been sought to circumvent (by-pass) the problems of party fragmentation and political uncertainties is through the judicial system, as a kind of insurance policy. And all of this happened with the support, consent and silence of the incumbents.</p>
		</sec>
	</body>
	<back>
		<ref-list>
			<title>References</title>
			<ref id="B1">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Barbosa</surname>
							<given-names>L. V. de Q.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<source>O Sil&#x00EA;ncio dos Incumbentes: fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e empoderamento judicial no Brasil</source>
					<comment>Tese de Doutorado</comment>
					<publisher-loc>Recife</publisher-loc>
					<publisher-name>Universidade Federal de Pernambuco</publisher-name>
				</element-citation>
				<mixed-citation>Barbosa, L. V. de Q., 2015. 
					<italic>O Sil&#x00EA;ncio dos Incumbentes: fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e empoderamento judicial no Brasil</italic>. Tese de Doutorado. Recife: Universidade Federal de Pernambuco.
				</mixed-citation>
			</ref>
			<ref id="B2">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Baleeiro</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>1968</year>
					<source>O Supremo Tribunal Federal, esse outro desconhecido</source>
					<publisher-loc>Rio de Janeiro</publisher-loc>
					<publisher-name>Forense</publisher-name>
				</element-citation>
				<mixed-citation>Baleeiro, A., 1968. 
					<italic>O Supremo Tribunal Federal, esse outro desconhecido</italic>. Rio de Janeiro: Forense.
				</mixed-citation>
			</ref>
			<ref id="B3">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Berkson</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>1944</year>
					<article-title>Application of the logistic function to bioassay</article-title>
					<source>Journal of the American Statistical Association</source>
					<volume>39</volume>
					<issue>227</issue>
					<fpage>357</fpage>
					<lpage>365</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1080/01621459.1944.10500699</pub-id>
				</element-citation>
				<mixed-citation>Berkson, J., 1944. Application of the logistic function to bioassay. 
					<italic>Journal of the American Statistical Association</italic>, 39 (227), pp. 357-365. DOI: 10.1080/01621459.1944.10500699
				</mixed-citation>
			</ref>
			<ref id="B4">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Brambor</surname>
							<given-names>T.</given-names>
						</name>
						<name>
							<surname>Clark</surname>
							<given-names>W. R.</given-names>
						</name>
						<name>
							<surname>Golder</surname>
							<given-names>M.</given-names>
						</name>
					</person-group>
					<year>2006</year>
					<article-title>Understanding Interaction Models: Improving Empirical Analysis</article-title>
					<source>Political Analysis</source>
					<volume>14</volume>
					<issue>1</issue>
					<fpage>63</fpage>
					<lpage>82</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1093/pan/mpi014</pub-id>
				</element-citation>
				<mixed-citation>Brambor, T.; Clark, W. R. &#x0026; Golder, M., 2006. Understanding Interaction Models: Improving Empirical Analysis. 
					<italic>Political Analysis</italic>, 14(1), pp.63-82. DOI: 10.1093/pan/mpi014
				</mixed-citation>
			</ref>
			<ref id="B5">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Carvalho</surname>
							<given-names>E.</given-names>
						</name>
					</person-group>
					<year>2007</year>
					<article-title>Revis&#x00E3;o judicial e judicializa&#x00E7;&#x00E3;o da pol&#x00ED;tica no direito ocidental: aspecto relevantes de sua g&#x00EA;nese e desenvolvimento</article-title>
					<source>Revista Sociologia e Pol&#x00ED;tica</source>
					<volume>s/v</volume>
					<issue>28</issue>
					<fpage>161</fpage>
					<lpage>179</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1590/S1517-45222010000100007</pub-id>
				</element-citation>
				<mixed-citation>Carvalho, E., 2007. Revis&#x00E3;o judicial e judicializa&#x00E7;&#x00E3;o da pol&#x00ED;tica no direito ocidental: aspecto relevantes de sua g&#x00EA;nese e desenvolvimento. 
					<italic>Revista Sociologia e Pol&#x00ED;tica</italic>, s/v, n&#x00BA; 28, pp.161-179. DOI: 10.1590/S1517-45222010000100007
				</mixed-citation>
			</ref>
			<ref id="B6">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Coelho</surname>
							<given-names>R. C.</given-names>
						</name>
					</person-group>
					<year>1999</year>
					<source>Partidos Pol&#x00ED;ticos: Maiorias Parlamentares e Tomada de Decis&#x00E3;o na Constituinte</source>
					<comment>Tese de Doutorado</comment>
					<publisher-loc>S&#x00E3;o Paulo</publisher-loc>
					<publisher-name>Universidade de S&#x00E3;o Paulo</publisher-name>
				</element-citation>
				<mixed-citation>Coelho, R. C., 1999. 
					<italic>Partidos Pol&#x00ED;ticos: Maiorias Parlamentares e Tomada de Decis&#x00E3;o na Constituinte</italic>. Tese de Doutorado. S&#x00E3;o Paulo: Universidade de S&#x00E3;o Paulo.
				</mixed-citation>
			</ref>
			<ref id="B7">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Coppedge</surname>
							<given-names>M.</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2017</year>
					<source>V-Dem [Country-Year/Country-Date] Dataset v7.1</source>
				</element-citation>
				<mixed-citation>Coppedge, M. 
					<italic>et. al.</italic>, 2017a. 
					<italic>V-Dem [Country-Year/Country-Date]</italic> Dataset v7.1.
				</mixed-citation>
			</ref>
			<ref id="B8">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Coppedge</surname>
							<given-names>M.</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2017</year>
					<source>V-DEM Codebook v7.1 &#x2013; Varieties of Democracy (V-Dem) Project</source>
					<publisher-name>University of Gothenburg</publisher-name>
				</element-citation>
				<mixed-citation>Coppedge, M. 
					<italic>et. al.</italic>, 2017b. 
					<italic>V-DEM Codebook v7.1 &#x2013; Varieties of Democracy (V-Dem) Project</italic>. University of Gothenburg.
				</mixed-citation>
			</ref>
			<ref id="B9">
				<element-citation publication-type="book">
					<person-group person-group-type="editor">
						<name>
							<surname>Couso</surname>
							<given-names>J. A.</given-names>
						</name>
						<name>
							<surname>Huneeus</surname>
							<given-names>A.</given-names>
						</name>
						<name>
							<surname>Sieder</surname>
							<given-names>R.</given-names>
						</name>
					</person-group>
					<comment>(orgs.)</comment>
					<year>2010</year>
					<source>Cultures of Legality: Judicialization and Political Activism in Latin America</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>Cambridge University Press</publisher-name>
				</element-citation>
				<mixed-citation>Couso, J. A.; Huneeus, A. &#x0026; Sieder, R. (orgs.), 2010. 
					<italic>Cultures of Legality: Judicialization and Political Activism in Latin America</italic>. New York: Cambridge University Press.
				</mixed-citation>
			</ref>
			<ref id="B10">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Da Ros</surname>
							<given-names>L.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Em que Ponto Estamos? Agenda de Pesquisa sobre o Supremo Tribunal Federal no Brasil e nos Estados Unidos</article-title>
					<comment>In</comment>
					<person-group person-group-type="editor">
						<name>
							<surname>Engelmann</surname>
							<given-names>F.</given-names>
						</name>
					</person-group>
					<comment>(Org.)</comment>
					<source>Sociologia Pol&#x00ED;tica das Institui&#x00E7;&#x00F5;es Judiciais</source>
					<publisher-loc>Porto Alegre</publisher-loc>
					<publisher-name>Editora UFRGS</publisher-name>
				</element-citation>
				<mixed-citation>Da Ros, L., 2017. Em que Ponto Estamos? Agenda de Pesquisa sobre o Supremo Tribunal Federal no Brasil e nos Estados Unidos. In F. Engelmann, (org.). 
					<italic>Sociologia Pol&#x00ED;tica das Institui&#x00E7;&#x00F5;es Judiciais</italic>. Porto Alegre: Editora UFRGS.
				</mixed-citation>
			</ref>
			<ref id="B11">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Dahl</surname>
							<given-names>R.</given-names>
						</name>
					</person-group>
					<year>1957</year>
					<article-title>Decision-making in a Democracy: The Supreme Court as a National Policy-Maker</article-title>
					<source>Journal of Public Law</source>
					<volume>s/v</volume>
					<issue>6</issue>
					<fpage>279</fpage>
					<lpage>295</lpage>
				</element-citation>
				<mixed-citation>Dahl, R., 1957. Decision-making in a Democracy: The Supreme Court as a National Policy-Maker. 
					<italic>Journal of Public Law</italic>, s/v, n&#x00BA;6, pp. 279-295.
				</mixed-citation>
			</ref>
			<ref id="B12">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>David</surname>
							<given-names>R.</given-names>
						</name>
					</person-group>
					<year>2002</year>
					<source>Os grandes sistemas do Direito contempor&#x00E2;neo</source>
					<publisher-loc>S&#x00E3;o Paulo</publisher-loc>
					<publisher-name>Martins Fontes</publisher-name>
				</element-citation>
				<mixed-citation>David, R., 2002. 
					<italic>Os grandes sistemas do Direito contempor&#x00E2;neo</italic>. S&#x00E3;o Paulo: Martins Fontes.
				</mixed-citation>
			</ref>
			<ref id="B13">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Dyke</surname>
							<given-names>G. V.</given-names>
						</name>
						<name>
							<surname>Petterson</surname>
							<given-names>H. D.</given-names>
						</name>
					</person-group>
					<year>1952</year>
					<article-title>Analysis of factorial arrangements when the data are proportions</article-title>
					<source>Biometrics</source>
					<volume>8</volume>
					<issue>1</issue>
					<fpage>1</fpage>
					<lpage>12</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.2307/3001521</pub-id>
				</element-citation>
				<mixed-citation>Dyke, G. V. &#x0026; Petterson, H. D., 1952. Analysis of factorial arrangements when the data are proportions. 
					<italic>Biometrics</italic>, 8(1), pp. 1-12. DOI: 10.2307/3001521
				</mixed-citation>
			</ref>
			<ref id="B14">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Elster</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2000</year>
					<source>Ulisses Liberto &#x2013; Estudos sobre Racionalidade, Pr&#x00E9;-compromissos e Restri&#x00E7;&#x00F5;es</source>
					<publisher-loc>S&#x00E3;o Paulo</publisher-loc>
					<publisher-name>Editora Unesp</publisher-name>
				</element-citation>
				<mixed-citation>Elster, J., 2000. 
					<italic>Ulisses Liberto &#x2013; Estudos sobre Racionalidade, Pr&#x00E9;-compromissos e Restri&#x00E7;&#x00F5;es</italic>. S&#x00E3;o Paulo: Editora Unesp.
				</mixed-citation>
			</ref>
			<ref id="B15">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Feigl</surname>
							<given-names>P.</given-names>
						</name>
						<name>
							<surname>Zelen</surname>
							<given-names>M.</given-names>
						</name>
					</person-group>
					<year>1965</year>
					<article-title>Estimation of exponential survival probabilities with concomitant information</article-title>
					<source>Biometrics</source>
					<volume>21</volume>
					<issue>4</issue>
					<fpage>826</fpage>
					<lpage>838</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.2307/2528247</pub-id>
				</element-citation>
				<mixed-citation>Feigl, P. &#x0026; Zelen, M., 1965. Estimation of exponential survival probabilities with concomitant information. 
					<italic>Biometrics</italic>. 21(4), pp. 826-838. DOI: 10.2307/2528247
				</mixed-citation>
			</ref>
			<ref id="B16">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Ferejohn</surname>
							<given-names>John</given-names>
						</name>
					</person-group>
					<year>2002</year>
					<article-title>Judicializing Politics, Politicizing Law</article-title>
					<source>Law and Contemporary Problems</source>
					<volume>65</volume>
					<issue>3</issue>
					<fpage>41</fpage>
					<lpage>68</lpage>
				</element-citation>
				<mixed-citation>Ferejohn, John, 2002. Judicializing Politics, Politicizing Law. 
					<italic>Law and Contemporary Problems</italic>. 65(3), pp. 41-68.
				</mixed-citation>
			</ref>
			<ref id="B17">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Figueiredo</surname>
							<given-names>D. B.</given-names>
							<suffix>Filho</suffix>
						</name>
						<name>
							<surname>Silva</surname>
							<given-names>J. A. da</given-names>
							<suffix>J&#x00FA;nior</suffix>
						</name>
					</person-group>
					<year>2010</year>
					<article-title>Vis&#x00E3;o Al&#x00E9;m do Alcance: uma introdu&#x00E7;&#x00E3;o &#x00E0; an&#x00E1;lise fatorial</article-title>
					<source>Opini&#x00E3;o P&#x00FA;blica</source>
					<volume>16</volume>
					<issue>1</issue>
					<fpage>160</fpage>
					<lpage>185</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1590/S0104-62762010000100007</pub-id>
				</element-citation>
				<mixed-citation>Figueiredo Filho, D. B. &#x0026; Silva J&#x00FA;nior, J. A. da, 2010. Vis&#x00E3;o Al&#x00E9;m do Alcance: uma introdu&#x00E7;&#x00E3;o &#x00E0; an&#x00E1;lise fatorial. 
					<italic>Opini&#x00E3;o P&#x00FA;blica</italic>, 16, (1), pp. 160-185. DOI: 10.1590/S0104-62762010000100007
				</mixed-citation>
			</ref>
			<ref id="B18">
				<element-citation publication-type="webpage">
					<person-group person-group-type="author">
						<name>
							<surname>Garson</surname>
							<given-names>G. D.</given-names>
						</name>
					</person-group>
					<year>2009</year>
					<source>&#x201C;Factor Analysis&#x201D; from Statnotes: Topics in Multivariate Analysis [online]</source>
					<comment>Dispon&#x00ED;vel em</comment>
					<ext-link ext-link-type="uri" xlink:href="http://faculty.chass.ncsu.edu/garson/pa765/statnote.htm">http://faculty.chass.ncsu.edu/garson/pa765/statnote.htm</ext-link>
					<comment>Acesso em</comment>
					<date-in-citation>10.ago.2020</date-in-citation>
				</element-citation>
				<mixed-citation>Garson, G. D., 2009. 
					<italic>&#x201C;Factor Analysis&#x201D; from Statnotes: Topics in Multivariate Analysis</italic> [online]. Dispon&#x00ED;vel em &#x003C; 
					<ext-link ext-link-type="uri" xlink:href="http://faculty.chass.ncsu.edu/garson/pa765/statnote.htm">http://faculty.chass.ncsu.edu/garson/pa765/statnote.htm</ext-link> &#x003E; . Acesso em 10.ago.2020.
				</mixed-citation>
			</ref>
			<ref id="B19">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Ginsburg</surname>
							<given-names>T.</given-names>
						</name>
					</person-group>
					<year>2003</year>
					<source>Judicial Review in New Democracies</source>
					<publisher-loc>Cambridge</publisher-loc>
					<publisher-name>University Press</publisher-name>
				</element-citation>
				<mixed-citation>Ginsburg, T., 2003. 
					<italic>Judicial Review in New Democracies</italic>. Cambridge: University Press.
				</mixed-citation>
			</ref>
			<ref id="B20">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Hair</surname>
							<given-names>J. F.</given-names>
						</name>
						<name>
							<surname>Anderson</surname>
							<given-names>R. E.</given-names>
						</name>
						<name>
							<surname>Tatham</surname>
							<given-names>R. L.</given-names>
						</name>
						<name>
							<surname>Black</surname>
							<given-names>W. C.</given-names>
						</name>
					</person-group>
					<year>2005</year>
					<source>An&#x00E1;lise Multivariada de Dados</source>
					<publisher-loc>Rio de Janeiro</publisher-loc>
					<publisher-name>Bookman</publisher-name>
				</element-citation>
				<mixed-citation>Hair, J. F.; Anderson, R. E.; Tatham, R. L. &#x0026; Black, W. C., 2005. 
					<italic>An&#x00E1;lise Multivariada de Dados</italic>. Rio de Janeiro: Bookman.
				</mixed-citation>
			</ref>
			<ref id="B21">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Hall</surname>
							<given-names>Peter A.</given-names>
						</name>
						<name>
							<surname>Taylor</surname>
							<given-names>Rosemary C.</given-names>
						</name>
					</person-group>
					<year>2003</year>
					<article-title>As Tr&#x00EA;s Vers&#x00F5;es do Neoinstitucionalismo</article-title>
					<source>Lua Nova</source>
					<volume>s/v</volume>
					<issue>58</issue>
					<fpage>193</fpage>
					<lpage>224</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1590/S0102-64452003000100010</pub-id>
				</element-citation>
				<mixed-citation>Hall, Peter A. &#x0026; Taylor, Rosemary C., 2003. As Tr&#x00EA;s Vers&#x00F5;es do Neoinstitucionalismo. 
					<italic>Lua Nova</italic>, s/v, n&#x00BA; 58, pp. 193-224. DOI: 10.1590/S0102-64452003000100010
				</mixed-citation>
			</ref>
			<ref id="B22">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Hattam</surname>
							<given-names>V. C.</given-names>
						</name>
					</person-group>
					<year>1993</year>
					<source>Labor Visions and State Power. The Origins of Business Unionism in the United States</source>
					<publisher-loc>Princeton</publisher-loc>
					<publisher-name>University Press</publisher-name>
				</element-citation>
				<mixed-citation>Hattam. V. C., 1993. 
					<italic>Labor Visions and State Power. The Origins of Business Unionism in the United States.</italic> Princeton: University Press.
				</mixed-citation>
			</ref>
			<ref id="B23">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Herrera</surname>
							<given-names>C. M.</given-names>
						</name>
					</person-group>
					<year>1994</year>
					<article-title>La pol&#x00E9;mica Schmitt-Kelsen sobre el guardi&#x00E1;n de la Constituci&#x00F3;n</article-title>
					<source>Revista de Estudios Politicos</source>
					<volume>s/v</volume>
					<issue>86</issue>
					<fpage>195</fpage>
					<lpage>227</lpage>
				</element-citation>
				<mixed-citation>Herrera, C. M., 1994. La pol&#x00E9;mica Schmitt-Kelsen sobre el guardi&#x00E1;n de la Constituci&#x00F3;n. 
					<italic>Revista de Estudios Politicos</italic>, s/v, n&#x00BA;86, pp. 195-227.
				</mixed-citation>
			</ref>
			<ref id="B24">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Ingram</surname>
							<given-names>M. C.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Judicial Power in Latin America</article-title>
					<source>Latin American Research Review</source>
					<volume>50</volume>
					<issue>1</issue>
					<fpage>250</fpage>
					<lpage>260</lpage>
				</element-citation>
				<mixed-citation>Ingram, M. C., 2015. Judicial Power in Latin America. 
					<italic>Latin American Research Review</italic>, 50(1), pp. 250-260.
				</mixed-citation>
			</ref>
			<ref id="B25">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Ingram</surname>
							<given-names>M. C.</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>Crafting Courts in New Democracies:</article-title>
					<source>The Politics of Subnational Judicial Reform in Brazil and Mexico</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>Cambridge University Press</publisher-name>
				</element-citation>
				<mixed-citation>Ingram, M. C., 2016. 
					<italic>Crafting Courts in New Democracies: The Politics of Subnational Judicial Reform in Brazil and Mexico</italic>. New York: Cambridge University Press.
				</mixed-citation>
			</ref>
			<ref id="B26">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Koerner</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2013</year>
					<article-title>Ativismo Judicial? Jurisprud&#x00EA;ncia constitucional e pol&#x00ED;tica no STF p&#x00F3;s-88</article-title>
					<source>Novos Estudos - CEBRAP</source>
					<volume>s/v</volume>
					<issue>96</issue>
					<fpage>69</fpage>
					<lpage>85</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1590/S0101-33002013000200006</pub-id>
				</element-citation>
				<mixed-citation>Koerner, A., 2013. Ativismo Judicial? Jurisprud&#x00EA;ncia constitucional e pol&#x00ED;tica no STF p&#x00F3;s-88. 
					<italic>Novos Estudos - CEBRAP</italic>, s/v, n&#x00BA; 96, pp. 69-85. DOI: 10.1590/S0101-33002013000200006
				</mixed-citation>
			</ref>
			<ref id="B27">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Koopmans</surname>
							<given-names>T.</given-names>
						</name>
					</person-group>
					<year>2003</year>
					<source>Courts and Political Institutions &#x2013; A Comparative View</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>Cambridge University Press</publisher-name>
				</element-citation>
				<mixed-citation>Koopmans, T., 2003. 
					<italic>Courts and Political Institutions &#x2013; A Comparative View</italic>. New York: Cambridge University Press.
				</mixed-citation>
			</ref>
			<ref id="B28">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Lijphart</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2003</year>
					<source>Modelos de Democracia: desempenho e padr&#x00F5;es e governo em 36 democracias</source>
					<comment>Trad.</comment>
					<person-group person-group-type="editor">
						<name>
							<surname>Franco</surname>
							<given-names>Roberto</given-names>
						</name>
					</person-group>
					<publisher-loc>Rio de Janeiro</publisher-loc>
					<publisher-name>Civiliza&#x00E7;&#x00E3;o Brasileira</publisher-name>
				</element-citation>
				<mixed-citation>Lijphart, A., 2003. 
					<italic>Modelos de Democracia: desempenho e padr&#x00F5;es e governo em 36 democracias</italic>. Trad. Roberto Franco. Rio de Janeiro: Civiliza&#x00E7;&#x00E3;o Brasileira.
				</mixed-citation>
			</ref>
			<ref id="B29">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Linzer</surname>
							<given-names>D. A.</given-names>
						</name>
						<name>
							<surname>Staton</surname>
							<given-names>J. K.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>A Global Measure of Judicial Independence</article-title>
					<source>Journal of Law and Courts</source>
					<volume>3</volume>
					<issue>2</issue>
					<fpage>223</fpage>
					<lpage>256</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.1086/682150</pub-id>
				</element-citation>
				<mixed-citation>Linzer, D. A. &#x0026; Staton, J. K., 2015. A Global Measure of Judicial Independence. 
					<italic>Journal of Law and Courts</italic>, 3(2), pp. 223-256. DOI: 10.1086/682150
				</mixed-citation>
			</ref>
			<ref id="B30">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Melo</surname>
							<given-names>M. A.</given-names>
						</name>
					</person-group>
					<year>2007</year>
					<article-title>Hiperconstitucionaliza&#x00E7;&#x00E3;o e Qualidade da Democracia &#x2013; Mito e Realidade</article-title>
					<comment>In</comment>
					<person-group person-group-type="editor">
						<name>
							<surname>Melo</surname>
							<given-names>C. R.</given-names>
						</name>
						<name>
							<surname>S&#x00E1;ez</surname>
							<given-names>M. A.</given-names>
						</name>
					</person-group>
					<comment>(orgs)</comment>
					<source>Democracia Brasileira: Balan&#x00E7;os e Perspectivas para o S&#x00E9;culo 21</source>
					<publisher-loc>Belo Horizonte</publisher-loc>
					<publisher-name>Ed. UFMG</publisher-name>
					<fpage>237</fpage>
					<lpage>265</lpage>
				</element-citation>
				<mixed-citation>Melo, M. A., 2007. Hiperconstitucionaliza&#x00E7;&#x00E3;o e Qualidade da Democracia &#x2013; Mito e Realidade. In C. R. Melo &#x0026; M. A. S&#x00E1;ez (orgs). 
					<italic>Democracia Brasileira: Balan&#x00E7;os e Perspectivas para o S&#x00E9;culo 21</italic>. Belo Horizonte: Ed. UFMG, pp. 237-265.
				</mixed-citation>
			</ref>
			<ref id="B31">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Maravall</surname>
							<given-names>J.M.</given-names>
						</name>
						<name>
							<surname>Przeworski</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2003</year>
					<source>Democracy and the Rule of Law</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>Cambridge University Press</publisher-name>
				</element-citation>
				<mixed-citation>Maravall, J.M. &#x0026; Przeworski, A., 2003. 
					<italic>Democracy and the Rule of Law</italic>. New York: Cambridge University Press.
				</mixed-citation>
			</ref>
			<ref id="B32">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Negretto</surname>
							<given-names>G. L.</given-names>
						</name>
					</person-group>
					<year>2013</year>
					<source>Making Constitutions: Presidents, Parties and Institutional Choice in Latin America</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>Cambridge University Press</publisher-name>
				</element-citation>
				<mixed-citation>Negretto, G. L., 2013. 
					<italic>Making Constitutions: Presidents, Parties and Institutional Choice in Latin America</italic>. New York: Cambridge University Press.
				</mixed-citation>
			</ref>
			<ref id="B33">
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Nelder</surname>
							<given-names>J. A.</given-names>
						</name>
						<name>
							<surname>Wedderburn</surname>
							<given-names>R. W. M.</given-names>
						</name>
					</person-group>
					<year>1972</year>
					<article-title>Generalized Linear Models</article-title>
					<source>Journal of the Royal Statistics Society</source>
					<volume>135</volume>
					<issue>3</issue>
					<fpage>370</fpage>
					<lpage>384</lpage>
					<comment>DOI:</comment>
					<pub-id pub-id-type="doi">10.2307/2344614</pub-id>
				</element-citation>
				<mixed-citation>Nelder, J. A. &#x0026; Wedderburn, R. W. M., 1972. Generalized Linear Models. 
					<italic>Journal of the Royal Statistics Society</italic>, 135(3) pp. 370-384. DOI: 10.2307/2344614
				</mixed-citation>
			</ref>
			<ref id="B34">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Pallant</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2007</year>
					<source>SPSS Survival Manual</source>
					<publisher-loc>London</publisher-loc>
					<publisher-name>Open University Press</publisher-name>
				</element-citation>
				<mixed-citation>Pallant, J., 2007. 
					<italic>SPSS Survival Manual</italic>. London: Open University Press.
				</mixed-citation>
			</ref>
			<ref id="B35">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Rae</surname>
							<given-names>D.</given-names>
						</name>
					</person-group>
					<year>1971</year>
					<source>The Political Consequences of Electoral Laws</source>
					<publisher-loc>New Haven</publisher-loc>
					<publisher-name>Yale University Press</publisher-name>
				</element-citation>
				<mixed-citation>Rae, D., 1971. 
					<italic>The Political Consequences of Electoral Laws</italic>. New Haven: Yale University Press.
				</mixed-citation>
			</ref>
			<ref id="B36">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Shugart</surname>
							<given-names>M. S.</given-names>
						</name>
						<name>
							<surname>Carey</surname>
							<given-names>J. M.</given-names>
						</name>
					</person-group>
					<year>1992</year>
					<source>President and Assemblies: Constitutional Design and Electoral Dynamics</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>Cambridge University Press</publisher-name>
				</element-citation>
				<mixed-citation>Shugart, M. S. &#x0026; Carey, J. M., 1992. 
					<italic>President and Assemblies: Constitutional Design and Electoral Dynamics</italic>. New York: Cambridge University Press.
				</mixed-citation>
			</ref>
			<ref id="B37">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Sweet</surname>
							<given-names>A. S.</given-names>
						</name>
					</person-group>
					<year>2000</year>
					<source>Governing with Judgers: Constitutional Politics in Europe</source>
					<publisher-loc>Oxford</publisher-loc>
					<publisher-name>University Press</publisher-name>
				</element-citation>
				<mixed-citation>Sweet, A. S., 2000. 
					<italic>Governing with Judgers: Constitutional Politics in Europe</italic>. Oxford: University Press.
				</mixed-citation>
			</ref>
			<ref id="B38">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Tate</surname>
							<given-names>N. C</given-names>
						</name>
						<name>
							<surname>Vallinder</surname>
							<given-names>T.</given-names>
						</name>
					</person-group>
					<year>1995</year>
					<source>The Global Expansion of Judicial Power</source>
					<publisher-loc>New York</publisher-loc>
					<publisher-name>University Press</publisher-name>
				</element-citation>
				<mixed-citation>Tate, N. C, &#x0026; Vallinder, T., 1995. 
					<italic>The Global Expansion of Judicial Power</italic>. New York: University Press.
				</mixed-citation>
			</ref>
			<ref id="B39">
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Teorell</surname>
							<given-names>J.</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2016</year>
					<source>Measuring Electoral Democracy with V-Dem Data: Introducing a New Polyarchy Index &#x2013; V-Dem Working Paper 2016:25</source>
					<publisher-name>University of Gothenburg</publisher-name>
				</element-citation>
				<mixed-citation>Teorell, J. 
					<italic>et. al.</italic>, 2016. 
					<italic>Measuring Electoral Democracy with V-Dem Data: Introducing a New Polyarchy Index &#x2013; V-Dem</italic> Working Paper 2016:25. University of Gothenburg.
				</mixed-citation>
			</ref>
		</ref-list>
		<fn-group>
			<fn fn-type="other" id="fn1">
				<label>1</label>
				<p>This research was supported by Nacional Council for Scientific and Technological Development &#x2013; CNPq, and the Coordination for the Improvement of Higher Education Personnel &#x2013; CAPES. We thank the anonymous reviewers of the 
					<italic>Revista de Sociologia e Pol&#x00ED;tica</italic> for their comments on this article.
				</p>
			</fn>
			<fn fn-type="other" id="fn2">
				<label>2</label>
				<p>See the exemplary decision of that Court in the Marbury v. Madison case.</p>
			</fn>
			<fn fn-type="other" id="fn3">
				<label>3</label>
				<p>There are countless works that demonstrate this assertion, we would highlight those of 
					<xref ref-type="bibr" rid="B37">Sweet (2000)</xref>, 
					<xref ref-type="bibr" rid="B12">David (2002)</xref> and 
					<xref ref-type="bibr" rid="B31">Maravall &#x0026; Przeworski (2003)</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn4">
				<label>4</label>
				<p>The former Supreme Court of Justice, from the imperial era of Brazil, was renamed Supreme Federal Court with the provisional constitution, through Decree 510, of June 22, 1890. For a view of the differences and merging of the models see 
					<xref ref-type="bibr" rid="B5">Carvalho (2007)</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn5">
				<label>5</label>
				<p>For the sake of illustration, we suggest reading Barbosa (2015), which deals with the institutionalization of judicial review in the Brazilian system.</p>
			</fn>
			<fn fn-type="other" id="fn6">
				<label>6</label>
				<p>For more details see 
					<xref ref-type="bibr" rid="B35">Rae (1971)</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn7">
				<label>7</label>
				<p>We highlight the two most important ones: Marbury v. Madison in 1803 and Lochner v. State of New York in 1905.</p>
			</fn>
			<fn fn-type="other" id="fn8">
				<label>8</label>
				<p>The debate can be found in 
					<xref ref-type="bibr" rid="B23">Herrera 1994</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn9">
				<label>9</label>
				<p>For more on the Sovereignty of Parliament principle, see 
					<xref ref-type="bibr" rid="B27">Koopmans (2003)</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn10">
				<label>10</label>
				<p>For more details, see Barbosa (2015, pp. 63-98).</p>
			</fn>
			<fn fn-type="other" id="fn11">
				<label>11</label>
				<p>This indicator will be further detailed below, in the methodology section.</p>
			</fn>
			<fn fn-type="other" id="fn12">
				<label>12</label>
				<p>In Portuguese: Madison insistiu que o esp&#x00ED;rito das fac&#x00E7;&#x00F5;es pode ser perigoso &#x00E0; liberdade e, mais adiante, &#x00E0; democracia. Ele tamb&#x00E9;m reconheceu, entretanto, que em uma rep&#x00FA;blica, fac&#x00E7;&#x00F5;es e partidos, que servem mais adiante a interesses p&#x00FA;blicos e privados, n&#x00E3;o podem ser abolidos sem minar o pr&#x00F3;prio governo republicano. Na melhor das hip&#x00F3;teses, as pol&#x00ED;ticas das fac&#x00E7;&#x00F5;es e dos partidos podem ser reguladas ou dirigidas de forma a limitar a probabilidade de abusos. A forma mais satisfat&#x00F3;ria de regula&#x00E7;&#x00E3;o reside no processo eleitoral para corrigir patologias pol&#x00ED;ticas. &#x00C9; claro que, caso as autorregula&#x00E7;&#x00F5;es democr&#x00E1;ticas falhem, h&#x00E1; os tribunais constitucionalmente empoderados como salvaguarda que pode ser empregada para limitar abusos no processo legislativo. (Ferejohn, 2002, p. 50, translated by the authors)</p>
			</fn>
			<fn fn-type="other" id="fn13">
				<label>13</label>
				<p>For iSTF, Barbosa 2015 chose not to establish a scale, but to maintain a counting pattern, mainly due to the generalized linear models, being the most appropriate scale for the negative binomial model, as shown by Nelder &#x0026; Wedderburn (1972).</p>
			</fn>
			<fn fn-type="other" id="fn14">
				<label>14</label>
				<p>These actors with proc These actors with active procedural capacity are listed in art. 103 of the Federal Constitution of Brazil, and they are: I &#x2013; the President of the Republic; II &#x2013; the directing board of the Federal Senate; III &#x2013; the directing board of the Chamber of Deputies; IV &#x2013; the Directing Board of a State Legislative Assembly or of the Federal District Legislative Chamber; V &#x2013; a State Governor or the Federal District Governor; VI &#x2013; the Attorney-General of the Republic; VII &#x2013; the Federal Council of the Brazilian Bar Association; VIII &#x2013; a political party represented in the National Congress; IX &#x2013; a confederation of labour unions or a professional association of a nationwide nature.</p>
			</fn>
			<fn fn-type="other" id="fn15">
				<label>15</label>
				<p>Here are counted all the authorities that can be tried by the STF, as stated in the Federal Constitution of Brazil.</p>
			</fn>
			<fn fn-type="other" id="fn16">
				<label>16</label>
				<p>In Portuguese: Se um partido controla 75% das cadeiras, o n&#x00FA;mero m&#x00ED;nimo de partidos para aprovar mudan&#x00E7;as constitucionais ser&#x00E1; um, seja maioria absoluta ou qualificada. Entretanto, se a Casa Legislativa &#x00E9; composta por cinco partidos compartilhando 49, 16, 13, 12 e 10% das cadeiras, o n&#x00FA;mero m&#x00ED;nimo de partidos requerido para aprovar mudan&#x00E7;as na Constitui&#x00E7;&#x00E3;o ser&#x00E1; dois ou tr&#x00EA;s, a depender da regra de emendamento (Negretto 2013, p. 85, translated by the authors)</p>
			</fn>
			<fn fn-type="other" id="fn17">
				<label>17</label>
				<p>The institutional power here is understood as Barbosa (2015) proposed, that is, it is a power described in the rules of the game (precisely the Constitution), it is not a power utilized (whose variables would not be institutional, but decisional, analyzing the decisions of the court). More specifically, it is a 
					<italic>de jure</italic> power, that is, of being able to act. And the power to act interferes in the calculation that legislative actors make when making decisions, within the decision-making process.
				</p>
			</fn>
			<fn fn-type="other" id="fn18">
				<label>18</label>
				<p>For a more detailed explanation see Linzer &#x0026; Staton (2015, p. 225).</p>
			</fn>
			<fn fn-type="other" id="fn19">
				<label>19</label>
				<p>For a more detailed explanation, see 
					<xref ref-type="bibr" rid="B8">Coppedge 
						<italic>et. al.</italic> (2017b
					</xref>, p. 49), and 
					<xref ref-type="bibr" rid="B39">Teorell 
						<italic>et. al.</italic> (2016)
					</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn20">
				<label>20</label>
				<p>To see more about the technique of interactive terms see 
					<xref ref-type="bibr" rid="B4">Brambor 
						<italic>et. al.</italic> (2006)
					</xref>.
				</p>
			</fn>
			<fn fn-type="other" id="fn21">
				<p>A produ&#x00E7;&#x00E3;o desse manuscrito foi viabilizada atrav&#x00E9;s do patroc&#x00ED;nio fornecido pelo Centro Universit&#x00E1;rio Internacional Uninter &#x00E0; 
					<italic>Revista de Sociologia e Pol&#x00ED;tica</italic>.
				</p>
			</fn>
		</fn-group>
	</back>
	<!--sub-article article-type="translation" id="S01" xml:lang="pt">
		<front-stub>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artigos Originais</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>O Supremo Tribunal Federal como a rainha do jogo de xadrez: fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e empoderamento judicial no Brasil</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7131-1012</contrib-id>
					<name>
						<surname>Barbosa</surname>
						<given-names>Leon Victor de Queiroz</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">
						<sup>I</sup>
					</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3165-2434</contrib-id>
					<name>
						<surname>Carvalho</surname>
						<given-names>Ernani</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">
						<sup>I</sup>
					</xref>
				</contrib>
				<aff id="aff2">
					<label>I</label>
					<institution content-type="normalized">Universidade Federal de Pernambuco</institution>
					<institution content-type="orgname">Universidade Federal de Pernambuco</institution>
					<institution content-type="orgdiv1">Departamento de Ci&#x00EA;ncia Pol&#x00ED;tica</institution>
					<addr-line>
						<named-content content-type="city">Recife</named-content>
						<named-content content-type="state">PE</named-content>
					</addr-line>
					<country country="BR">Brazil</country>
					<institution content-type="original">Departamento de Ci&#x00EA;ncia Pol&#x00ED;tica, Universidade Federal de Pernambuco, Recife, PE, Brazil</institution>
				</aff>
			</contrib-group>
			<volume>28</volume>
			<issue>73</issue>
			<elocation-id>e007b</elocation-id>
			<history>
				<date date-type="received">
					<day>07</day>
					<month>07</month>
					<year>2018</year>
				</date>
				<date date-type="accepted">
					<day>14</day>
					<month>06</month>
					<year>2019</year>
				</date>
				<date date-type="accepted">
					<day>27</day>
					<month>02</month>
					<year>2020</year>
				</date>
			</history>
			<permissions>
				<copyright-year>2020</copyright-year>
				<license xml:lang="en" license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0">
					<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited.</license-p>
				</license>
			</permissions>
			<abstract>
				<title>RESUMO</title>
				<sec>
					<title>Introdu&#x00E7;&#x00E3;o:</title>
					<p>Este artigo analisa o processo de empoderamento do Supremo Tribunal Federal (STF) do Brasil entre 1945 e 2015. O objetivo &#x00E9; explicar o que tornou o STF t&#x00E3;o poderoso institucionalmente e como isso ocorreu. Estudos sobre a expans&#x00E3;o global do poder judicial apontam uma multiplicidade de causas para explicar esse fen&#x00F4;meno, mas pesquisas recentes v&#x00EA;m indicando a fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria como a principal causa do empoderamento judicial. O presente trabalho testa a hip&#x00F3;tese de que quanto maior a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria, mais poder institucional o STF possuir&#x00E1;.</p>
				</sec>
				<sec>
					<title>Materiais e M&#x00E9;todos:</title>
					<p>Como vari&#x00E1;vel dependente, foi criado um indicador sint&#x00E9;tico que mensura o poder institucional do Supremo Tribunal Federal ano a ano. As vari&#x00E1;veis independentes mensuraram anualmente a composi&#x00E7;&#x00E3;o partid&#x00E1;ria da C&#x00E2;mara dos Deputados para o mesmo per&#x00ED;odo. Al&#x00E9;m dessas vari&#x00E1;veis, foram importadas outras medidas da base de dados do V-Dem. Para essa an&#x00E1;lise foram utilizados modelos lineares simples, lineares generalizados e multinomiais.</p>
				</sec>
				<sec>
					<title>Resultados:</title>
					<p>Foi identificado um alto impacto da fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria no empoderamento institucional do STF. Em todos os testes, a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria aumentou as chances de empoderamento institucional do Poder Judici&#x00E1;rio brasileiro.</p>
				</sec>
				<sec>
					<title>Discuss&#x00E3;o:</title>
					<p>As reformas ex&#x00F3;genas que geraram esse empoderamento se deram com o apoio do Poder Executivo e com a leni&#x00EA;ncia do Poder Legislativo, transformando a Suprema Corte brasileira na Rainha do jogo de xadrez institucional nacional.</p>
				</sec>
			</abstract>
			<kwd-group xml:lang="pt">
				<title>PALAVRAS-CHAVE:</title>
				<kwd>Poder Judici&#x00E1;rio</kwd>
				<kwd>fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria</kwd>
				<kwd>empoderamento judicial</kwd>
				<kwd>Supremo Tribunal Federal</kwd>
				<kwd>multinomial</kwd>
				<kwd>an&#x00E1;lise fatorial</kwd>
			</kwd-group>
		</front-stub>
		<body>
			<sec sec-type="intro">
				<title>I. Introdu&#x00E7;&#x00E3;o
					<xref ref-type="fn" rid="fn22">
						<sup>1</sup>
					</xref>
				</title>
				<p>Durante o desenvolvimento e aperfei&#x00E7;oamento das democracias modernas, as aten&#x00E7;&#x00F5;es estiveram voltadas ao Poder Representativo. O Corpo Legislativo sempre foi tido como o vetor da legitimidade e soberania, ou seja, o v&#x00E9;rtice da pr&#x00F3;pria ideia de governo democr&#x00E1;tico. Desde as reformas incrementais no modelo ingl&#x00EA;s, v&#x00EA;-se um crescente aperfei&#x00E7;oamento do Parlamento, cujo poder foi sendo gradativamente compartilhado com a Monarquia at&#x00E9; o seu desenho institucional atual, sob a &#x00E9;gide do princ&#x00ED;pio da soberania do parlamento, ou seja, &#x00E9; do Legislativo a &#x00FA;ltima palavra.</p>
				<p>Em contraposi&#x00E7;&#x00E3;o ao modelo brit&#x00E2;nico, Madison elaborou um sistema de freios e contrapesos onde o Legislativo estaria separado do Executivo e ju&#x00ED;zes lotados em um tribunal superior controlariam os demais poderes atrav&#x00E9;s da aplica&#x00E7;&#x00E3;o exeg&#x00E9;tica da Constitui&#x00E7;&#x00E3;o. Ou seja, a soberania do parlamento daria lugar &#x00E0; supremacia da constitui&#x00E7;&#x00E3;o. Sob a &#x00E9;gide desse princ&#x00ED;pio, Madison e Hamilton, com uma forte participa&#x00E7;&#x00E3;o da pr&#x00F3;pria Suprema Corte americana
					<xref ref-type="fn" rid="fn23">
						<sup>2</sup>
					</xref>, desenharam um modelo que deu ao Judici&#x00E1;rio a &#x00FA;ltima palavra dentro do processo decis&#x00F3;rio, atrav&#x00E9;s da revis&#x00E3;o judicial. O pr&#x00F3;prio sistema de 
					<italic>common law</italic> contribuiu para que a Suprema Corte estadunidense estabelecesse, principalmente ap&#x00F3;s o caso 
					<italic>Marbury vs. Madison</italic>, os pr&#x00F3;prios limites e alcances em sua atua&#x00E7;&#x00E3;o dentro do arcabou&#x00E7;o da revis&#x00E3;o dos atos dos demais poderes.
				</p>
				<p>Esse modelo de controle por ju&#x00ED;zes se mostrou bastante eficaz e bastante difundido no per&#x00ED;odo posterior &#x00E0; segunda guerra, pois era capaz de inibir as paix&#x00F5;es majorit&#x00E1;rias, evitando que pol&#x00ED;ticos perigosos, mas legislativamente majorit&#x00E1;rios, acendessem ao poder, como no caso da Alemanha no per&#x00ED;odo nazista. Assim, a cl&#x00E1;ssica colet&#x00E2;nea de 
					<xref ref-type="bibr" rid="B38">Tate &#x0026; Vallinder (1995)</xref>, foi o primeiro esfor&#x00E7;o acad&#x00EA;mico com o escopo de compreender as causas e consequ&#x00EA;ncias deste processo que havia ganho dimens&#x00F5;es globais. Ou seja, no que tange &#x00E0;s democracias ocidentais, n&#x00E3;o s&#x00E3;o mais os parlamentares os detentores da &#x00FA;ltima palavra no processo decis&#x00F3;rio, cada vez mais os ju&#x00ED;zes ocupam um papel central nessa din&#x00E2;mica. Se trata de um segmento com forte ascens&#x00E3;o pol&#x00ED;tica e social, especialmente selecionados para compor um &#x00F3;rg&#x00E3;o judicial com compet&#x00EA;ncia especial
					<xref ref-type="fn" rid="fn24">
						<sup>3</sup>
					</xref>.
				</p>
				<p>O Brasil seguiu esse movimento global de expans&#x00E3;o do Judici&#x00E1;rio e em 1988, conformou no seu desenho constitucional a jun&#x00E7;&#x00E3;o de dois modelos de revis&#x00E3;o judicial, o modelo americano e o modelo concentrado kelseniano, que no desenho original era exercido por um &#x00F3;rg&#x00E3;o administrativo alheio aos tr&#x00EA;s poderes, mas que no Brasil ficou a cargo do mesmo &#x00F3;rg&#x00E3;o ao qual coube o tipo de revis&#x00E3;o norte-americana. Surgia assim, o atual Supremo Tribunal Federal
					<xref ref-type="fn" rid="fn25">
						<sup>4</sup>
					</xref>. Entretanto, esse modelo n&#x00E3;o surgiu aleat&#x00F3;ria nem acidentalmente. O hist&#x00F3;rico nacional de rupturas democr&#x00E1;ticas e de instabilidade pol&#x00ED;tica teria papel principal na dota&#x00E7;&#x00E3;o de poder da nossa suprema corte
					<xref ref-type="fn" rid="fn26">
						<sup>5</sup>
					</xref>. A pergunta principal dessa pesquisa &#x00E9; direcionada a como e por que o Supremo Tribunal Federal se tornou t&#x00E3;o poderoso. Quem dotou o STF de mais poder, o Executivo ou o Legislativo? Qual o efeito do regime pol&#x00ED;tico nesse aumento de poder? A hip&#x00F3;tese principal &#x00E9; a de que a fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria fez com que o Legislativo e Executivo, dotassem o STF com poder suficiente para proteger elites que deixam o poder, bem como evitar 
					<italic>gridlocks</italic> congressuais, dotando a suprema corte com capacidade de resolver impasses decisionais de forma a garantir a fluidez do sistema pol&#x00ED;tico, afastando a paralisia decis&#x00F3;ria.
				</p>
				<p>Para testar essas hip&#x00F3;teses, foi montado um banco de dados entre os anos de 1945 e 2015, onde cada ano &#x00E9; um evento e no qual est&#x00E3;o mensuradas dezessete vari&#x00E1;veis ex&#x00F3;genas, dentre as quais destacamos cinco indicadores de empoderamento institucional do STF e do Judici&#x00E1;rio, tr&#x00EA;s medidas para fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria atrav&#x00E9;s do n&#x00FA;mero efetivo de partidos (NEP), do n&#x00FA;mero m&#x00ED;nimo de partidos para implementar uma mudan&#x00E7;a constitucional (NMP) e o &#x00ED;ndice de fracionaliza&#x00E7;&#x00E3;o de Douglas Rae
					<xref ref-type="fn" rid="fn27">
						<sup>6</sup>
					</xref> (F), al&#x00E9;m de duas vari&#x00E1;veis de competi&#x00E7;&#x00E3;o pol&#x00ED;tica (poliarquia e competi&#x00E7;&#x00E3;o pol&#x00ED;tica) e uma vari&#x00E1;vel bin&#x00E1;ria de controle para regime pol&#x00ED;tico. Termos interativos tamb&#x00E9;m foram criados para captar os efeitos marginais do regime. Assim, o artigo est&#x00E1; dividido em tr&#x00EA;s se&#x00E7;&#x00F5;es, ap&#x00F3;s essa introdu&#x00E7;&#x00E3;o (I). Na segunda fazemos uma breve an&#x00E1;lise da evolu&#x00E7;&#x00E3;o do poder judicial no geral, e no Brasil em especial. Na terceira se&#x00E7;&#x00E3;o retomamos o debate institucional e exploramos os dados, na quarta rodamos os modelos e fazemos as an&#x00E1;lises. Por fim, trazemos as conclus&#x00F5;es (V) e considera&#x00E7;&#x00F5;es finais.
				</p>
			</sec>
			<sec>
				<title>II. S&#x00ED;ntese da Evolu&#x00E7;&#x00E3;o do Poder Judicial</title>
				<p>No ano de 1752, Montesquieu registrou que de todos os poderes o Judici&#x00E1;rio &#x00E9;, em alguma medida, pr&#x00F3;ximo a nada. Sua obra, o cl&#x00E1;ssico 
					<italic>O Esp&#x00ED;rito das Leis</italic>, viria a ser um marco na teoria da separa&#x00E7;&#x00E3;o dos poderes. De fato, os Ju&#x00ED;zes n&#x00E3;o ocuparam lugar de destaque na constru&#x00E7;&#x00E3;o dos modelos de democracia, seja na Antiguidade Cl&#x00E1;ssica, seja no per&#x00ED;odo p&#x00F3;s-absolutismo. Nem mesmo James Madison em seus artigos federalistas havia pensado em dar tanto destaque &#x00E0; Suprema Corte, que no seu desenho institucional operava como mecanismo de freios e contrapesos dentro da l&#x00F3;gica federativo-presidencialista do modelo norte americano. Foi um conjunto de decis&#x00F5;es judiciais
					<xref ref-type="fn" rid="fn28">
						<sup>7</sup>
					</xref> que constru&#x00ED;ram atrav&#x00E9;s do precedente, a for&#x00E7;a que a Corte Constitucional estadunidense passou a exercer diante dos demais poderes. Esses casos foram seminais, n&#x00E3;o apenas para refor&#x00E7;ar os 
					<italic>checks-and-balances</italic>, mas tamb&#x00E9;m para ilustrar a Suprema Corte como 
					<italic>policy-maker</italic>, como ficou delineado no artigo seminal de Robert Dahl (
					<xref ref-type="bibr" rid="B11">Dahl 1957</xref>).
				</p>
				<p>Enquanto que o modelo difuso de revis&#x00E3;o judicial norte-americano encontrava um ambiente favor&#x00E1;vel no sistema de 
					<italic>common law</italic>, que permite o Judici&#x00E1;rio inovar no Direito atrav&#x00E9;s da regra do precedente, o modelo de 
					<italic>civil law</italic> exigia um desenho institucional positivo atrav&#x00E9;s do Legislativo, o que de certa forma impedia um auto empoderamento do Judici&#x00E1;rio. Foi em 1920, na &#x00C1;ustria, que Hans Kelsen e Carl Schmitt travaram um intenso debate
					<xref ref-type="fn" rid="fn29">
						<sup>8</sup>
					</xref> sobre a ado&#x00E7;&#x00E3;o de um modelo de interven&#x00E7;&#x00E3;o judicial que n&#x00E3;o fosse t&#x00E3;o forte quanto o dos Estados Unidos. Foi da&#x00ED; que surgiu o modelo concentrado-abstrato, onde um &#x00F3;rg&#x00E3;o alheio ao Judici&#x00E1;rio, mas com a &#x00FA;ltima palavra sobre a Constitui&#x00E7;&#x00E3;o, teria como prerrogativa principal proteg&#x00EA;-la das maiorias legislativas conjunturais, buscando dar uma estabilidade jur&#x00ED;dica ao longo do tempo. Por&#x00E9;m, esse debate s&#x00F3; ganhou propor&#x00E7;&#x00F5;es mundiais no p&#x00F3;s-segunda guerra, quando as na&#x00E7;&#x00F5;es europeias se viram fragilizadas pelo Princ&#x00ED;pio da Soberania do Parlamento
					<xref ref-type="fn" rid="fn30">
						<sup>9</sup>
					</xref>, e buscaram modelos que as protegessem do populismo e das maiorias legislativas convenientes. A partir da&#x00ED; o desenho institucional madisoniano consagrou o Princ&#x00ED;pio da Supremacia da Constitui&#x00E7;&#x00E3;o, que passou a ser adotado por diversos pa&#x00ED;ses europeus e latino-americanos. Ou seja, o Poder Judici&#x00E1;rio passou a ser visto dentro dos tr&#x00EA;s poderes como fator de estabilidade contra maiorias legislativas que tendessem &#x00E0; tirania da maioria.
				</p>
				<p>Essa nova configura&#x00E7;&#x00E3;o na teoria da separa&#x00E7;&#x00E3;o dos poderes dotou o Judici&#x00E1;rio de um protagonismo at&#x00E9; ent&#x00E3;o in&#x00E9;dito, que ao fortalec&#x00EA;-lo institucionalmente atrav&#x00E9;s das regras constitucionais, permitiu que Ju&#x00ED;zes passassem a interferir com mais for&#x00E7;a e frequ&#x00EA;ncia na arena pol&#x00ED;tica. Como 
					<xref ref-type="bibr" rid="B28">Lijphart (2003</xref>, p. 258) pontuou, se um &#x00F3;rg&#x00E3;o &#x00E9; criado com o prop&#x00F3;sito exclusivo de examinar a constitucionalidade da legisla&#x00E7;&#x00E3;o, &#x00E9; muito prov&#x00E1;vel que ele realize essa tarefa com alguma vitalidade. O caso brasileiro &#x00E9; ainda mais interessante, pois sua suprema corte, o Supremo Tribunal Federal &#x2013; STF, n&#x00E3;o &#x00E9; um &#x00F3;rg&#x00E3;o exclusivo do exame de constitucionalidade. Ele tamb&#x00E9;m atua como inst&#x00E2;ncia recursal ordin&#x00E1;ria nos casos em que &#x00E9; inst&#x00E2;ncia origin&#x00E1;ria para a&#x00E7;&#x00F5;es contra algumas autoridades p&#x00FA;blicas, al&#x00E9;m de apreciar os recursos extraordin&#x00E1;rios, onde exerce a revis&#x00E3;o judicial difusa e atua como revisor judicial concentrado. Ou seja, o modelo brasileiro &#x00E9; um modelo h&#x00ED;brido que uniu o modelo norte-americano e o modelo kelseniano. Por&#x00E9;m, esse modelo foi uma constru&#x00E7;&#x00E3;o feita no tempo, de forma gradativa e incremental. Nem sempre o STF foi t&#x00E3;o poderoso, como demonstrou Aliomar Baleeiro na obra 
					<italic>O Supremo Tribunal Federal, esse outro desconhecido</italic>, publicada em 1968 (
					<xref ref-type="bibr" rid="B2">Baleeiro 1968</xref>). O 
					<xref ref-type="fig" rid="f5">Gr&#x00E1;fico 1</xref> ilustra essa evolu&#x00E7;&#x00E3;o no tempo. O eixo y representa o n&#x00FA;mero de palavras contido na se&#x00E7;&#x00E3;o dedicada ao Poder Judici&#x00E1;rio em cada Constitui&#x00E7;&#x00E3;o por mandatos presidenciais (eixo x) em fun&#x00E7;&#x00E3;o das modifica&#x00E7;&#x00F5;es feitas por constitui&#x00E7;&#x00F5;es e emendas constitucionais. Assim foi poss&#x00ED;vel captar o &#x201C;tamanho&#x201D; de cada um dos tr&#x00EA;s poderes, permitindo sua compara&#x00E7;&#x00E3;o. O gr&#x00E1;fico evidencia que o ano de 2004 (Lula 2003-2010) foi o momento em que o Judici&#x00E1;rio (linha preta) ultrapassou o Legislativo (linha vermelha). O Executivo est&#x00E1; representado pela linha azul. Foi naquele ano que houve a reforma do judici&#x00E1;rio (Emenda 45 de 2004), com a cria&#x00E7;&#x00E3;o do Conselho Nacional de Justi&#x00E7;a fazendo com que o controle do Judici&#x00E1;rio central passasse a ser ainda mais forte.
				</p>
				<fig id="f5">
					<label>Gr&#x00E1;fico 1</label>
					<caption>
						<title>Evolu&#x00E7;&#x00E3;o dos Tr&#x00EA;s Poderes (1891 &#x2013; 2014)</title>
					</caption>
					<graphic xlink:href="0104-4478-rsocp-28-73-e007-gf05.tif"/>
					<attrib>Fonte: Os autores, baseados em 
						<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
					</attrib>
				</fig>
				<p>Al&#x00E9;m da reforma do Judici&#x00E1;rio, Andrei Koerner ressaltou que o Presidente Lula, ao assumir a Presid&#x00EA;ncia da Rep&#x00FA;blica em 2003, teve dificuldades de implementar sua agenda pela via Legislativa, optando pela via judicial ao nomear para o STF ministros progressistas ligados a partidos de esquerda e movimentos sociais (
					<xref ref-type="bibr" rid="B26">Koerner 2013</xref>). Esse argumento fica bastante ilustrado no 
					<xref ref-type="fig" rid="f6">Gr&#x00E1;fico 2</xref>, com o alinhamento dos indicadores
					<xref ref-type="fn" rid="fn31">
						<sup>10</sup>
					</xref> de empoderamento judicial e de fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria. Esses indicadores foram constru&#x00ED;dos atrav&#x00E9;s da an&#x00E1;lise fatorial de seis vari&#x00E1;veis em dois blocos: 1) empoderamento judicial, onde foram fatorizadas as vari&#x00E1;veis que mediam o tamanho da extens&#x00E3;o do Poder Judici&#x00E1;rio na Constitui&#x00E7;&#x00E3;o atrav&#x00E9;s do n&#x00FA;mero de palavras (NPPJ), o grau de detalhamento do texto constitucional relativo ao Judici&#x00E1;rio (D) e o Indicador de Empoderamento do STF (iSTF
					<xref ref-type="fn" rid="fn32">
						<sup>11</sup>
					</xref>); 2) fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria, onde foram fatorizadas as vari&#x00E1;veis do n&#x00FA;mero efetivo de partidos (NEP), o &#x00ED;ndice de fracionaliza&#x00E7;&#x00E3;o de Rae (F) e o n&#x00FA;mero m&#x00ED;nimo de partidos para implementar uma mudan&#x00E7;a constitucional (NMP). Para mais detalhes, ver Barbosa (2015, pp. 63-98).
				</p>
				<fig id="f6">
					<label>Gr&#x00E1;fico 2</label>
					<caption>
						<title>Indicador de Empoderamento Judicial e de Fragmenta&#x00E7;&#x00E3;o Partid&#x00E1;ria entre 1945 e 2013</title>
					</caption>
					<graphic xlink:href="0104-4478-rsocp-28-73-e007-gf06.tif"/>
					<attrib>Fonte: Os autores, baseados em 
						<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
					</attrib>
				</fig>
				<p>No 
					<xref ref-type="fig" rid="f6">Gr&#x00E1;fico 2</xref>, o eixo y &#x00E9; representado pelos indicadores fatorizados, j&#x00E1; o eixo x representa o ano de altera&#x00E7;&#x00F5;es constitucionais (por Constitui&#x00E7;&#x00E3;o e por emendas). A linha pontilhada em vermelho significa o 
					<bold>ponto de n&#x00E3;o-retorno</bold>, ou seja, ap&#x00F3;s a Constitui&#x00E7;&#x00E3;o de 1988 n&#x00E3;o h&#x00E1; como Executivo e/ou Legislativo voltar(em) atr&#x00E1;s e diminuir(em) os poderes do Judici&#x00E1;rio, a n&#x00E3;o ser que este concorde com essa redu&#x00E7;&#x00E3;o, o que &#x00E9; bastante improv&#x00E1;vel, uma vez que compete ao pr&#x00F3;prio STF o controle sobre as mudan&#x00E7;as constitucionais, qualquer tentativa de reduzir-lhe poder atrav&#x00E9;s de Emenda Constitucional, caber&#x00E1; a ele decidir sobre a pr&#x00F3;pria redu&#x00E7;&#x00E3;o de poder. Esse evento especificamente mostra que, dentro da ordem constitucional vigente, &#x00E9; o STF quem delibera sobre os pr&#x00F3;prios poderes, competindo a ele fazer uma autorrestri&#x00E7;&#x00E3;o (o 
					<xref ref-type="fig" rid="f5">Gr&#x00E1;fico 1</xref> mostra que n&#x00E3;o h&#x00E1; redu&#x00E7;&#x00E3;o de poder ap&#x00F3;s 1988). J&#x00E1; a linha pontilhada em cinza, ilustra o argumento de Koerner (2013), exatamente quando os indicadores de fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e de empoderamento judicial se alinham no tempo. Esse alinhamento sugere uma correla&#x00E7;&#x00E3;o extremamente forte entre fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e empoderamento judicial.
				</p>
				<p>A Constitui&#x00E7;&#x00E3;o de 1988 ignorou a preocupa&#x00E7;&#x00E3;o de Kelsen em criar um Judici&#x00E1;rio t&#x00E3;o poderoso quanto o estadunidense. E foi al&#x00E9;m, incorporando um modelo mais brando, mas que no desenho institucional brasileiro tornou-se extremamente forte, uma vez que na concep&#x00E7;&#x00E3;o de Kelsen, o controle concentrado deveria ser exercido por um &#x00F3;rg&#x00E3;o administrativo alheio aos tr&#x00EA;s poderes e n&#x00E3;o pelo Poder Judici&#x00E1;rio, como &#x00E9; no Brasil. Dessa forma, o modelo brasileiro torna o Supremo Tribunal Federal (do ponto de vista prescritivo-normativo) um &#x00F3;rg&#x00E3;o institucionalmente extremamente poderoso. Entretanto, ter o poder institucional de agir n&#x00E3;o garante faz&#x00EA;-lo (contrariando o argumento de Lijphart). Como no modelo nacional o Judici&#x00E1;rio &#x00E9; inerte, &#x00E9; preciso que outros &#x00F3;rg&#x00E3;os o provoquem. E essas demandas de fato v&#x00EA;m ganhando for&#x00E7;a na medida em que o STF as responde com o que os juristas chamam de 
					<italic>ativismo judicial</italic>.
				</p>
				<p>Mas o que leva um poder pol&#x00ED;tico eleito a permitir que um poder n&#x00E3;o eleito possa interferir de forma definitiva sobre suas a&#x00E7;&#x00F5;es? Por que Legislativo e/ou Executivo dotam o Judici&#x00E1;rio com um poder institucional (poder normativo) t&#x00E3;o forte?</p>
				<sec>
					<title>
						<italic>II.1. A Incerteza Pol&#x00ED;tica e o Insurance Model</italic>
					</title>
					<p>John 
						<xref ref-type="bibr" rid="B16">Ferejohn (2002)</xref> recorre ao desenho institucional madisoniano ao argumentar que o espa&#x00E7;o pol&#x00ED;tico usado para cr&#x00ED;tica e contesta&#x00E7;&#x00E3;o pol&#x00ED;ticas pode sofrer v&#x00E1;rias formas de abuso de forma a amea&#x00E7;ar a pr&#x00F3;pria operacionaliza&#x00E7;&#x00E3;o da democracia. De acordo com Ferejohn
					</p>
					<disp-quote>
						<p>Madison insistiu que o esp&#x00ED;rito das fac&#x00E7;&#x00F5;es pode ser perigoso &#x00E0; liberdade e, mais adiante, &#x00E0; democracia. Ele tamb&#x00E9;m reconheceu, entretanto, que em uma rep&#x00FA;blica, fac&#x00E7;&#x00F5;es e partidos, que servem mais adiante a interesses p&#x00FA;blicos e privados, n&#x00E3;o podem ser abolidos sem minar o pr&#x00F3;prio governo republicano. Na melhor das hip&#x00F3;teses, as pol&#x00ED;ticas das fac&#x00E7;&#x00F5;es e dos partidos podem ser reguladas ou dirigidas de forma a limitar a probabilidade de abusos. A forma mais satisfat&#x00F3;ria de regula&#x00E7;&#x00E3;o reside no processo eleitoral para corrigir patologias pol&#x00ED;ticas. &#x00C9; claro que, caso as autorregula&#x00E7;&#x00F5;es democr&#x00E1;ticas falhem, h&#x00E1; os tribunais constitucionalmente empoderados como salvaguarda que pode ser empregada para limitar abusos no processo legislativo (Ferejohn, 2002, p. 50. Tradu&#x00E7;&#x00E3;o Nossa)
							<xref ref-type="fn" rid="fn33">
								<sup>12</sup>
							</xref>.
						</p>
					</disp-quote>
					<p>Ferejohn argumenta que, em contraste ao argumento anterior, a lei ou sua aplica&#x00E7;&#x00E3;o, deve ocorrer dentro de tribunais. Sua aplica&#x00E7;&#x00E3;o &#x00E9; controversa, mas &#x00E9; de se esperar que na maior parte dos casos, seja uma quest&#x00E3;o t&#x00E9;cnica de encontrar os princ&#x00ED;pios corretos sob os quais a disputa seja estabelecida. O dever dos ju&#x00ED;zes &#x00E9; promover tribunais justos e n&#x00E3;o tendenciosos antes que partidos pol&#x00ED;ticos em conflito possam estabelecer suas disputas diante de regras legais previamente estabelecidas (Ferejohn 2002, p. 50). Esse modelo, continua Ferejohn, enxerga os tribunais como locais onde disputas espec&#x00ED;ficas s&#x00E3;o travadas, n&#x00E3;o como uma arena onde regula&#x00E7;&#x00F5;es gerais s&#x00E3;o formuladas. Ou seja, uma Suprema Corte como mecanismo eficaz de prevenir a tirania da maioria ou paix&#x00F5;es populares, como pontuou Jon 
						<xref ref-type="bibr" rid="B14">Elster (2000</xref>, p. 156), passaria a ser apenas uma de suas fun&#x00E7;&#x00F5;es. Ferejohn oferece duas respostas a esse aumento do escopo de atua&#x00E7;&#x00E3;o do Judici&#x00E1;rio (judicializa&#x00E7;&#x00E3;o da pol&#x00ED;tica).
					</p>
					<p>A primeira refere-se ao aumento da fragmenta&#x00E7;&#x00E3;o de poder dentro dos poderes pol&#x00ED;ticos, que limita a capacidade de legislar, ou de ser o lugar onde pol&#x00ED;ticas p&#x00FA;blicas podem ser efetivamente formuladas, ou seja, &#x00E9; o que Ferejohn chama de 
						<italic>hip&#x00F3;tese da fragmenta&#x00E7;&#x00E3;o</italic>: quando os poderes pol&#x00ED;ticos n&#x00E3;o podem agir, as pessoas que buscam resolver seus conflitos tender&#x00E3;o a gravitar sobre institui&#x00E7;&#x00F5;es que podem entregar solu&#x00E7;&#x00F5;es. As institui&#x00E7;&#x00F5;es que podem oferecer essa solu&#x00E7;&#x00E3;o s&#x00E3;o os tribunais, principalmente onde a legislatura &#x00E9; dividida (Ferejohn 2002, p. 55). A segunda diz respeito &#x00E0; expectativa de que alguns tribunais podem ser confi&#x00E1;veis para proteger uma grande gama de valores importantes contra potenciais abusos pol&#x00ED;ticos. Essa &#x00E9; a 
						<italic>hip&#x00F3;tese jur&#x00ED;dica</italic>.
					</p>
					<p>Mas o que leva os constituintes a incluir no texto constitucional mecanismos de revis&#x00E3;o judicial, capazes de revisar os atos legislativos futuros? Segundo 
						<xref ref-type="bibr" rid="B19">Ginsburg (2003</xref>, pp. 24-25), isso depende das posi&#x00E7;&#x00F5;es de poder dos constituintes nos governos p&#x00F3;s-constitui&#x00E7;&#x00E3;o, e o fator-chave que eles levam em considera&#x00E7;&#x00E3;o &#x00E9; o da 
						<italic>incerteza</italic>, no momento de constru&#x00E7;&#x00E3;o constitucional, da futura configura&#x00E7;&#x00E3;o pol&#x00ED;tica. Ginsburg delineia dois cen&#x00E1;rios extremos que refor&#x00E7;am seu argumento. O primeiro diz respeito a um cen&#x00E1;rio de partido &#x00FA;nico, cujos incentivos para estabelecer um &#x00E1;rbitro neutro para resolver disputas s&#x00E3;o muito poucos. O segundo diz respeito a um cen&#x00E1;rio de muitas for&#x00E7;as pol&#x00ED;ticas, onde nenhum partido tem confian&#x00E7;a de que continuar&#x00E1; no poder nas pr&#x00F3;ximas elei&#x00E7;&#x00F5;es. Quando as for&#x00E7;as pol&#x00ED;ticas est&#x00E3;o sob impasses ou dispersas, nenhum partido consegue prever quem vencer&#x00E1; as elei&#x00E7;&#x00F5;es ap&#x00F3;s a implementa&#x00E7;&#x00E3;o da Constitui&#x00E7;&#x00E3;o. Ou seja, n&#x00E3;o havendo nenhum partido pol&#x00ED;tico confiante na possibilidade de vit&#x00F3;ria eleitoral, todos eles ir&#x00E3;o preferir limitar a maioria, e mais adiante, ir&#x00E3;o valorizar institui&#x00E7;&#x00F5;es minorit&#x00E1;rias, como a revis&#x00E3;o judicial. Ginsburg denominou esse racioc&#x00ED;nio de 
						<italic>insurance model of judicial review</italic>. Ou seja, a revis&#x00E3;o judicial opera como ap&#x00F3;lice de seguro contra impasses e dispers&#x00F5;es dos partidos pol&#x00ED;ticos na arena decis&#x00F3;ria.
					</p>
					<p>A literatura que aborda a tem&#x00E1;tica da constru&#x00E7;&#x00E3;o institucional aponta para outras formas explicativas deste fen&#x00F4;meno (
						<xref ref-type="bibr" rid="B24">Ingram 2015</xref>). N&#x00E3;o obstante a for&#x00E7;a do 
						<italic>insurance model</italic>, que possui forte influ&#x00EA;ncia nos pa&#x00ED;ses de transi&#x00E7;&#x00E3;o recente, como &#x00E9; o caso brasileiro, &#x00E9; preciso reconhecer que ela n&#x00E3;o &#x00E9; soberana. &#x00C9; exequ&#x00ED;vel apontar falhas no argumento de que elites declinantes teriam for&#x00E7;a para empoderar institui&#x00E7;&#x00F5;es no intuito de conservar minimamente seus interesses (
						<xref ref-type="bibr" rid="B25">Ingram 2016</xref>). &#x201C;De igual forma, o argumento centrado na incerteza oriunda do incremento na competi&#x00E7;&#x00E3;o eleitoral n&#x00E3;o &#x00E9; capaz de explicar o 
						<italic>timing</italic> e o conte&#x00FA;do dessas reformas&#x201D; (
						<xref ref-type="bibr" rid="B10">Da Ros 2017</xref>, p. 61).
					</p>
					<p>Os chamados atores internos (membros do Judici&#x00E1;rio) tamb&#x00E9;m podem ter papel fundamental na formula&#x00E7;&#x00E3;o dessas mudan&#x00E7;as. Eles s&#x00E3;o diretamente beneficiados com o fortalecimento das cortes, inclusive, em alguns casos, superando a for&#x00E7;a das elites em decl&#x00ED;nio (
						<xref ref-type="bibr" rid="B9">Couso 
							<italic>et. al.</italic> 2010
						</xref>). Apesar de reconhecermos a relev&#x00E2;ncia e import&#x00E2;ncia das explica&#x00E7;&#x00F5;es te&#x00F3;ricas concorrentes insistimos que, para o caso brasileiro, as evid&#x00EA;ncias do 
						<italic>insurance model</italic> ganham relevo nos trabalhos que aprofundaram o 
						<italic>modus operandi</italic> do 
						<italic>constitutional building</italic>.
					</p>
					<p>A Influ&#x00EA;ncia dos chamados atores jur&#x00ED;dicos no processo de consecu&#x00E7;&#x00E3;o da Constitui&#x00E7;&#x00E3;o &#x00E9; ponto pac&#x00ED;fico dentro da literatura brasileira. Contudo, isto n&#x00E3;o significa que estiveram ausentes media&#x00E7;&#x00F5;es constru&#x00ED;das ao longo do processo de manufatura da Constitui&#x00E7;&#x00E3;o. Neste caso o PMDB foi fortemente favorecido pelo o princ&#x00ED;pio da proporcionalidade partid&#x00E1;ria, pois, al&#x00E9;m de possuir a maioria dos constituintes (54,2% do total), tinha a seu favor um princ&#x00ED;pio flex&#x00ED;vel para a ocupa&#x00E7;&#x00E3;o dos cargos de destaque. As oito relatorias das comiss&#x00F5;es foram ocupadas por constituintes do PMDB, em flagrante desrespeito ao princ&#x00ED;pio da proporcionalidade partid&#x00E1;ria. Al&#x00E9;m disso, o PMDB respondeu pela relatoria de treze subcomiss&#x00F5;es e pela presid&#x00EA;ncia de outras quinze.</p>
					<p>Sem adentrar muito nas quest&#x00F5;es do processo Constituinte de 1988, fica claro que a elite que negociou a transi&#x00E7;&#x00E3;o n&#x00E3;o era a decadente. O PMDB era o principal partido de oposi&#x00E7;&#x00E3;o ao regime e dele nasceu todas as negocia&#x00E7;&#x00F5;es relativas aos grupos de press&#x00E3;o da sociedade (
						<xref ref-type="bibr" rid="B6">Coelho 1999</xref>). O que n&#x00E3;o foi diferente para o caso do empoderamento judicial.
					</p>
					<p>Se durante a constituinte n&#x00E3;o houve maiores dificuldades para confluir os modelos madisoniano e kelseniano de controle sobre atos normativos, o per&#x00ED;odo posterior tamb&#x00E9;m n&#x00E3;o revela dificuldades. Uma vez que o argumento de Ginsburg &#x00E9; para per&#x00ED;odos de 
						<italic>constitutional building</italic>, &#x00E9; nas altera&#x00E7;&#x00F5;es constitucionais que reside maior aten&#x00E7;&#x00E3;o, uma vez que, como disse 
						<xref ref-type="bibr" rid="B30">Melo 2007</xref>, n&#x00E3;o &#x00E9; dif&#x00ED;cil modificar a Constitui&#x00E7;&#x00E3;o, assim o argumento ganha for&#x00E7;a n&#x00E3;o apenas a cada per&#x00ED;odo constitucional, mas a cada emenda que modificou o pr&#x00F3;prio Poder Judici&#x00E1;rio. De 1891 a 2013 foram 29 altera&#x00E7;&#x00F5;es, sendo sete por constitui&#x00E7;&#x00F5;es e 22 por emendas constitucionais. Dessas 22 emendas, dez (45,5%) foram de autoria do Legislativo e doze (54,5%) foram de autoria do Executivo (todas ex&#x00F3;genas). O gr&#x00E1;fico a seguir ilustra o aumento de poder do Judici&#x00E1;rio desde 1891 a 2015.
					</p>
					<p>Fica evidente que os governos democr&#x00E1;ticos contribu&#x00ED;ram muito mais para a inclina&#x00E7;&#x00E3;o da reta de ajuste do que os governos ditatoriais (como ilustrado no 
						<xref ref-type="fig" rid="f7">Gr&#x00E1;fico 3</xref>), o que corrobora a argumenta&#x00E7;&#x00E3;o de Ginsburg. Isso ficar&#x00E1; ainda mais claro na se&#x00E7;&#x00E3;o 4, onde os dados dar&#x00E3;o respostas ainda mais robustas. At&#x00E9; aqui, tanto Ginsburg quanto Ferejohn d&#x00E3;o s&#x00F3;lida contribui&#x00E7;&#x00E3;o para a formula&#x00E7;&#x00E3;o da hip&#x00F3;tese de que, quanto maior a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria, maior &#x00E9; o empoderamento do Judici&#x00E1;rio.
					</p>
					<fig id="f7">
						<label>Gr&#x00E1;fico 3</label>
						<caption>
							<title>Dispers&#x00E3;o do N&#x00FA;mero de Palavras do Poder Judici&#x00E1;rio por Mandato Presidencial entre 1891 e 2015</title>
						</caption>
						<graphic xlink:href="0104-4478-rsocp-28-73-e007-gf07.tif"/>
						<attrib>Fonte: Os autores, baseados em 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
						</attrib>
						<attrib>Nota: A vari&#x00E1;vel utilizada no eixo x do 
							<xref ref-type="fig" rid="f7">Gr&#x00E1;fico 3</xref> &#x00E9; o n&#x00FA;mero de palavras do poder judici&#x00E1;rio (NPPJ), e o eixo y representa intervalos de 25 anos, com os mandatos dos presidentes da rep&#x00FA;blica destacados dentro da imagem. Assim &#x00E9; poss&#x00ED;vel evidenciar sob quais presidentes houve maior inclina&#x00E7;&#x00E3;o no empoderamento do judici&#x00E1;rio atrav&#x00E9;s do n&#x00FA;mero de palavras como proxy para empoderamento judicial.
						</attrib>
					</fig>
				</sec>
			</sec>
			<sec>
				<title>III. Metodologia, m&#x00E9;todos e dados</title>
				<p>As mudan&#x00E7;as institucionais implementadas pelas constitui&#x00E7;&#x00F5;es e suas respectivas emendas n&#x00E3;o foram aleat&#x00F3;rias nem legadas ao acaso, foram fruto de um c&#x00E1;lculo estrat&#x00E9;gico que levou em considera&#x00E7;&#x00E3;o a pr&#x00F3;pria trajet&#x00F3;ria do sistema pol&#x00ED;tico brasileiro. O aspecto institucional &#x00E9; premente nesta an&#x00E1;lise, uma vez que analisa o que fazem as institui&#x00E7;&#x00F5;es, como elas se mant&#x00EA;m e como os atores se comportam. H&#x00E1;, portanto, duas perspectivas em que uma leva em considera&#x00E7;&#x00E3;o um c&#x00E1;lculo estrat&#x00E9;gico e a outra os aspectos culturais. 
					<xref ref-type="bibr" rid="B21">Hall &#x0026; Taylor (2003)</xref> argumentam que o comportamento do indiv&#x00ED;duo nunca &#x00E9; inteiramente estrat&#x00E9;gico, sendo limitado pela sua vis&#x00E3;o de mundo, ou seja, para os culturalistas os indiv&#x00ED;duos buscam mais a satisfa&#x00E7;&#x00E3;o do que a otimiza&#x00E7;&#x00E3;o. A perspectiva do c&#x00E1;lculo estrat&#x00E9;gico vai em sentido contr&#x00E1;rio, mostrando que as institui&#x00E7;&#x00F5;es se mant&#x00EA;m porque realizam algo pr&#x00F3;ximo do Equil&#x00ED;brio de Nash. Os institucionalistas hist&#x00F3;ricos, de outro modo, trabalham com ambas as perspectivas quando tratam da rela&#x00E7;&#x00E3;o entre institui&#x00E7;&#x00F5;es e a&#x00E7;&#x00E3;o. Segundo Vict&#x00F3;ria 
					<xref ref-type="bibr" rid="B22">Hattam (1993)</xref> a diferen&#x00E7;a entre contextos institucionais tem incid&#x00EA;ncia direta sobre as rela&#x00E7;&#x00F5;es de poder.
				</p>
				<sec>
					<title>
						<italic>III.1 Cria&#x00E7;&#x00E3;o do indicador iSTF</italic>
					</title>
					<p>Adotamos a vari&#x00E1;vel dependente 
						<italic>iSTF</italic>, elaborada por 
						<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>
						<xref ref-type="fn" rid="fn34">
							<sup>13</sup>
						</xref>, que &#x00E9; um indicador com base em 
						<xref ref-type="bibr" rid="B36">Shugart &#x0026; Carey (1992)</xref> &#x2013; que criaram um &#x00ED;ndice de poderes institucionais do Presidente da Rep&#x00FA;blica a partir de duas dimens&#x00F5;es, onde uma &#x00E9; o poder de legislar e a outra diz respeito a poderes n&#x00E3;o legislativos, numa escala de zero (fraco) a 4 (forte), em cada dimens&#x00E3;o. Portanto, a vari&#x00E1;vel dependente iSTF, pode ser representada pela seguinte f&#x00F3;rmula: 
						<italic>
							<bold>iSTF</bold>
						</italic> = 
						<italic>
							<bold>p</bold>
						</italic>(
						<italic>
							<bold>AA</bold>
						</italic>) + 
						<italic>
							<bold>j</bold>
						</italic>(
						<italic>
							<bold>gAP</bold>
						</italic>), onde o termo p significa a capacidade processual ativa, ou seja, capacidade de agir mediante provoca&#x00E7;&#x00E3;o de um autor com legitimidade processual ativa 
						<italic>AA</italic>
						<xref ref-type="fn" rid="fn35">
							<sup>14</sup>
						</xref>. O termo 
						<italic>j</italic> significa a prerrogativa de julgar atores constitucionalmente autorizados a figurarem no polo passivo, seja em grupo ou individualmente 
						<italic>gAP</italic>
						<xref ref-type="fn" rid="fn36">
							<sup>15</sup>
						</xref>. Dessa forma s&#x00E3;o contados os agentes que podem demandar, juntamente com os agentes que podem ser demandados, formando um conjunto de poderes institucionais que autorizam o STF a agir nos mais variados cen&#x00E1;rios, seja no controle difuso, concentrado e at&#x00E9; mesmo em a&#x00E7;&#x00F5;es origin&#x00E1;rias contra autoridades p&#x00FA;blicas, a exemplo de Presidente da Rep&#x00FA;blica, Parlamentares e o alto escal&#x00E3;o do Gabinete. Esse indicador, portanto, mensura o empoderamento judicial do Supremo Tribunal Federal.
					</p>
				</sec>
				<sec>
					<title>
						<italic>III.2 Descri&#x00E7;&#x00E3;o, Fontes e Mensura&#x00E7;&#x00E3;o das Vari&#x00E1;veis</italic>
					</title>
					<p>Al&#x00E9;m do iSTF, destacamos duas vari&#x00E1;veis independentes, doravante ex&#x00F3;genas, para captar a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria: N&#x00FA;mero Efetivo de Partidos da C&#x00E2;mara dos Deputados (NEP), e o N&#x00FA;mero M&#x00ED;nimo de Partidos (NMP) para implementar uma mudan&#x00E7;a constitucional (como alternativa ao NEP). Essa medida foi criada por 
						<xref ref-type="bibr" rid="B32">Negretto 2013</xref>, para captar o exato n&#x00FA;mero de partidos com influ&#x00EA;ncia de implementar mudan&#x00E7;as constitucionais, situa&#x00E7;&#x00E3;o que o NEP n&#x00E3;o capta. Nesse sentido, Negretto prop&#x00F5;e o NMP como sendo o tamanho da &#x201C;coaliz&#x00E3;o da reforma&#x201D;: uma vari&#x00E1;vel discreta indicando o n&#x00FA;mero m&#x00ED;nimo de partidos necess&#x00E1;rios para formar uma coaliz&#x00E3;o apta a conseguir aprovar emendas constitucionais. Para ele,
					</p>
					<disp-quote>
						<p>Se um partido controla 75% das cadeiras, o n&#x00FA;mero m&#x00ED;nimo de partidos para aprovar mudan&#x00E7;as constitucionais ser&#x00E1; um, seja maioria absoluta ou qualificada. Entretanto, se a Casa Legislativa &#x00E9; composta por cinco partidos compartilhando 49, 16, 13, 12 e 10% das cadeiras, o n&#x00FA;mero m&#x00ED;nimo de partidos requerido para aprovar mudan&#x00E7;as na Constitui&#x00E7;&#x00E3;o ser&#x00E1; dois ou tr&#x00EA;s, a depender da regra de emendamento (
							<xref ref-type="bibr" rid="B32">Negretto 2013</xref>, p. 85. Tradu&#x00E7;&#x00E3;o Nossa)
							<xref ref-type="fn" rid="fn37">
								<sup>16</sup>
							</xref>.
						</p>
					</disp-quote>
					<p>Dessa forma, tanto o NEP quanto o NMP ser&#x00E3;o consideradas vari&#x00E1;veis independentes e utilizadas separadamente, uma vez que entre elas h&#x00E1; forte correla&#x00E7;&#x00E3;o, o que gera multicolinearidade se presentes no mesmo modelo. Al&#x00E9;m dessas vari&#x00E1;veis, tamb&#x00E9;m utilizamos outras com base em 
						<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> e algumas do banco 
						<italic>Varieties of Democracy</italic> (V-DEM). As rela&#x00E7;&#x00F5;es entre vari&#x00E1;veis est&#x00E3;o descritas abaixo. As quatro primeiras vari&#x00E1;veis s&#x00E3;o as dependentes, sendo a primeira o indicador 
						<italic>iSTF</italic> seguido das vari&#x00E1;veis de 
						<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>. As vari&#x00E1;veis a partir de NEP s&#x00E3;o as independentes e buscam medir fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria (NEP, NMP, F, 
						<italic>Poliarquia</italic> e 
						<italic>Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</italic>). Essas duas &#x00FA;ltimas foram extra&#x00ED;das o banco 
						<italic>Varieties of Democracy</italic> (V-DEM) para os exatos anos em an&#x00E1;lise. Regime &#x00E9; uma vari&#x00E1;vel bin&#x00E1;ria mensurada para determinar per&#x00ED;odos democr&#x00E1;ticos (1) e autorit&#x00E1;rios (0), facilitando a cria&#x00E7;&#x00E3;o de termos interativos capazes de mostrar o efeito marginal da fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tica e partid&#x00E1;ria em tais per&#x00ED;odos. O indicador sint&#x00E9;tico iSTF mede o n&#x00FA;mero de prerrogativas que o Supremo Tribunal Federal teve ao longo do tempo, indo desde o controle difuso de constitucionalidade ao concentrado, passando pelo n&#x00FA;mero de atores que podem acionar tal mecanismo de revis&#x00E3;o judicial, bem como pelas autoridades sujeitas &#x00E0; atua&#x00E7;&#x00E3;o da Suprema Corte, buscando mensurar seu poder institucional
						<xref ref-type="fn" rid="fn38">
							<sup>17</sup>
						</xref>. A vari&#x00E1;vel LJI
						<xref ref-type="fn" rid="fn39">
							<sup>18</sup>
						</xref> significa 
						<italic>Latent Judicial Independence</italic> e busca medir uma medida unificada para duzentos pa&#x00ED;ses de 1948 a 2015 (
						<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>, p. 224). A vari&#x00E1;vel XCONST &#x00E9; baseada no projeto da 
						<italic>Polity IV</italic> e foi desenhada para medir a extens&#x00E3;o com a qual decis&#x00F5;es constrangem o poder discricion&#x00E1;rio do Executivo (
						<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>, p. 226). Para fins estat&#x00ED;sticos, n&#x00F3;s recalculamos essa vari&#x00E1;vel e criamos a vari&#x00E1;vel XCONST_cat, uma vari&#x00E1;vel ordinal de tr&#x00EA;s categorias: fraco (0 a 2), m&#x00E9;dio (3 e 4) e forte (5 e 6). J&#x00E1; a vari&#x00E1;vel Poliarquia
						<xref ref-type="fn" rid="fn40">
							<sup>19</sup>
						</xref> (v2x_polyarchy) &#x00E9; um indicador que mede cinco componentes: &#x201C;incumbentes eleitos&#x201D;, &#x201C;elei&#x00E7;&#x00F5;es livres e justas&#x201D;, &#x201C;liberdade de express&#x00E3;o&#x201D;, &#x201C;liberdade de associa&#x00E7;&#x00E3;o&#x201D; e &#x201C;cidadania inclusiva&#x201D; (
						<xref ref-type="bibr" rid="B39">Teorell 
							<italic>et. al.</italic> 2016
						</xref>, p. 2). &#x00C9; intuitivo dizer que, quanto maior o n&#x00ED;vel de Poliarquia, maior o n&#x00ED;vel de competi&#x00E7;&#x00E3;o pol&#x00ED;tica, e maior &#x00E9; o n&#x00ED;vel de incerteza em fun&#x00E7;&#x00E3;o da fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria, levando a um empoderamento judicial como forma de garantir os limites do jogo pol&#x00ED;tico. Por &#x00FA;ltimo, utilizamos uma vari&#x00E1;vel exclusiva para competi&#x00E7;&#x00E3;o pol&#x00ED;tica (e_polcomp) o V-Dem (
						<xref ref-type="bibr" rid="B7">Coppedge 
							<italic>et. al.</italic> 2017a
						</xref>). As tabelas (
						<xref ref-type="table" rid="t13">Tabela 1</xref>) a seguir mostram as descri&#x00E7;&#x00F5;es estat&#x00ED;sticas das vari&#x00E1;veis utilizadas.
					</p>
					<table-wrap id="t13">
						<label>Tabela 1</label>
						<caption>
							<title>Descri&#x00E7;&#x00E3;o Estat&#x00ED;stica das Vari&#x00E1;veis</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="16%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">N</th>
									<th align="center" valign="top">M&#x00ED;nimo</th>
									<th align="center" valign="top">M&#x00E1;ximo</th>
									<th align="center" valign="top">M&#x00E9;dia</th>
									<th align="center" valign="top">Desvio padr&#x00E3;o</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">iSTF</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">39</td>
									<td align="center" valign="top">137</td>
									<td align="center" valign="top">78,70</td>
									<td align="center" valign="top">36,519</td>
								</tr>
								<tr>
									<td align="left" valign="top">LJI</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">0,0798</td>
									<td align="center" valign="top">0,6378</td>
									<td align="center" valign="top">0,4028</td>
									<td align="center" valign="top">0,18106</td>
								</tr>
								<tr>
									<td align="left" valign="top">XCONST</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">0</td>
									<td align="center" valign="top">6</td>
									<td align="center" valign="top">4,06</td>
									<td align="center" valign="top">2,157</td>
								</tr>
								<tr>
									<td align="left" valign="top">XCONST_cat</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">3</td>
									<td align="center" valign="top">2,31</td>
									<td align="center" valign="top">0,934</td>
								</tr>
								<tr>
									<td align="left" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">9</td>
									<td align="center" valign="top">6,12</td>
									<td align="center" valign="top">3,183</td>
								</tr>
								<tr>
									<td align="left" valign="top">NEP</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">1,66</td>
									<td align="center" valign="top">13,45</td>
									<td align="center" valign="top">5,2873</td>
									<td align="center" valign="top">3,20177</td>
								</tr>
								<tr>
									<td align="left" valign="top">NMP</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">9</td>
									<td align="center" valign="top">3,06</td>
									<td align="center" valign="top">2,833</td>
								</tr>
								<tr>
									<td align="left" valign="top">F (Rae)</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">0,501</td>
									<td align="center" valign="top">0,956</td>
									<td align="center" valign="top">0,8173</td>
									<td align="center" valign="top">0,18145</td>
								</tr>
								<tr>
									<td align="left" valign="top">Poliarquia</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">0,150</td>
									<td align="center" valign="top">0,892</td>
									<td align="center" valign="top">0,5345</td>
									<td align="center" valign="top">0,28160</td>
								</tr>
								<tr>
									<td align="left" valign="top">Regime</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">0</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,68</td>
									<td align="center" valign="top">0,471</td>
								</tr>
								<tr>
									<td align="left" valign="top">
										<bold>N V&#x00E1;lido (</bold>
										<italic>
											<bold>listwise</bold>
										</italic>)
									</td>
									<td align="center" valign="top">64</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>, 
								<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
					<p>O per&#x00ED;odo &#x00E9; de 1945 a 2015, com exce&#x00E7;&#x00E3;o das vari&#x00E1;veis de Linzer &#x0026; Staton (2015) que v&#x00E3;o de 1948 a 2015 e da vari&#x00E1;vel de competi&#x00E7;&#x00E3;o pol&#x00ED;tica, do V-DEM, que se inicia em 1946. Al&#x00E9;m das vari&#x00E1;veis descritas na 
						<xref ref-type="table" rid="t14">Tabela 2</xref>, tamb&#x00E9;m utilizamos outras do pr&#x00F3;prio V-Dem, como o 
						<italic>Judicial Constraints on Executive Index (v2x_jucon)</italic> bem como as vari&#x00E1;veis utilizadas para ao seu c&#x00E1;lculo como 
						<italic>compliance with judiciary (v2jucomp), compliance with high court(v2juhccomp), high court Independence index (v2juhcind), lower court Independence index (v2juncind)</italic>. Esses indicadores tamb&#x00E9;m medem a for&#x00E7;a do Poder Judici&#x00E1;rio. Foi necess&#x00E1;rio mensuramos a rela&#x00E7;&#x00E3;o que as vari&#x00E1;veis possuem entre si, para evitar problemas de multicolineariedade e avaliar o uso de uma an&#x00E1;lise fatorial para utilizarmos vari&#x00E1;veis transformadas com o intuito de diminuir o n&#x00FA;mero de vari&#x00E1;veis utilizadas. A seguir h&#x00E1; as matrizes de correla&#x00E7;&#x00E3;o entre as vari&#x00E1;veis (
						<xref ref-type="table" rid="t14">Tabelas 2</xref> e 
						<xref ref-type="table" rid="t15">3</xref>). As cinco primeiras vari&#x00E1;veis foram coletadas do banco 
						<italic>Varieties of Democracy</italic> (V-DEM) para o per&#x00ED;odo 1945-2015, medem independ&#x00EA;ncia e for&#x00E7;a judicial em constranger o Executivo. Como elas est&#x00E3;o extremamente correlacionadas entre si, &#x00E9; mais adequado reduzir a um fator &#x00FA;nico atrav&#x00E9;s de an&#x00E1;lise fatorial. Esse fator &#x00FA;nico iremos chamar de 
						<bold>Indicador Judicial a partir do V-DEM</bold>. Nas demais vari&#x00E1;veis independentes (NEP, NMP, F, Poliarquia e Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica), que j&#x00E1; foram explicadas anteriormente &#x00E9; poss&#x00ED;vel verificar uma correla&#x00E7;&#x00E3;o extremamente alta e significativa (exceto o Indicador de Fragmenta&#x00E7;&#x00E3;o, que &#x00E9; o resultado da an&#x00E1;lise fatorial e carrega alta carga de vari&#x00E2;ncia de todas as demais vari&#x00E1;veis independentes). Ou seja, se mostrou bastante acertado o de an&#x00E1;lise fatorial de fator &#x00FA;nico para agregar essas informa&#x00E7;&#x00F5;es e facilitar um &#x00FA;nico modelo de m&#x00ED;nimos quadrados ordin&#x00E1;rios &#x2013; MQO. A an&#x00E1;lise fatorial est&#x00E1; descrita na tabela a seguir.
					</p>
					<table-wrap id="t14">
						<label>Tabela 2</label>
						<caption>
							<title>Matriz de Correla&#x00E7;&#x00E3;o de Pearson Entre Vari&#x00E1;veis Dependentes e Independentes</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="7%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top" colspan="4" style="border-bottom: thin solid;">Vari&#x00E1;veis Dependentes</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top" colspan="7" style="border-bottom: thin solid;">Vari&#x00E1;veis Independentes</th>
								</tr>
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">iSTF</th>
									<th align="center" valign="top">LJI</th>
									<th align="center" valign="top">XCONST</th>
									<th align="center" valign="top">XCONST_cat</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top">NEP</th>
									<th align="center" valign="top">NMP</th>
									<th align="center" valign="top">F</th>
									<th align="center" valign="top">Poliarquia</th>
									<th align="center" valign="top">Regime</th>
									<th align="center" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</th>
									<th align="center" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o 
										<xref ref-type="table-fn" rid="TFN13">
											<sup>I</sup>
										</xref>
									</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">iSTF</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,590
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,631
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,501
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,873
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,926
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,421
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,894
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,466
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,680
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,862
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">LJI</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,899
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,849
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,658
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,490
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,650
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,842
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,781
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,887
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,808
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">64</td>
									<td align="center" valign="top">64</td>
								</tr>
								<tr>
									<td align="left" valign="top">XCONST</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,975
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,735
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,542
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,789
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,880
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,932
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,966
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,905
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">64</td>
									<td align="center" valign="top">64</td>
								</tr>
								<tr>
									<td align="left" valign="top">XCONST_cat</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,641
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,436
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,809
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,788
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,939
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,930
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,827
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">65</td>
									<td align="center" valign="top">64</td>
									<td align="center" valign="top">64</td>
								</tr>
								<tr>
									<td align="left" valign="top">NEP</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,834
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,671
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,896
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,628
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,772
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,944
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">NMP</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,394
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,775
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,410
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,591
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,811
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">F</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,661
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,801
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,796
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,802
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Poliarquia</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,758
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,914
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,966
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Regime</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,881
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
									<td align="center" valign="top">0,790
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,919
										<xref ref-type="table-fn" rid="TFN12">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN12">
								<label>**</label>
								<p>A correla&#x00E7;&#x00E3;o &#x00E9; significativa no n&#x00ED;vel 0,01 (bilateral).</p>
							</fn>
							<fn id="TFN13">
								<label>I</label>
								<p>Vari&#x00E1;vel criada a partir de an&#x00E1;lise fatorial, como explicado na se&#x00E7;&#x00E3;o III.</p>
							</fn>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>, 
								<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
					<table-wrap id="t15">
						<label>Tabela 3</label>
						<caption>
							<title>Matriz de Correla&#x00E7;&#x00E3;o de Pearson com Vari&#x00E1;veis Judiciais Desagregadas e de Fragmenta&#x00E7;&#x00E3;o Pol&#x00ED;tica e Partid&#x00E1;ria</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="7%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top" colspan="5" style="border-bottom: thin solid;">Vari&#x00E1;veis Dependentes (desagregadas)</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top" colspan="6" style="border-bottom: thin solid;">Vari&#x00E1;veis Independentes</th>
								</tr>
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">&#x00CD;ndice de Constrangimentos do Judici&#x00E1;rio sobre o Executivo</th>
									<th align="center" valign="top">
										<italic>Compliance</italic> com o Judici&#x00E1;rio
									</th>
									<th align="center" valign="top">
										<italic>Compliance</italic> com a Alta Corte
									</th>
									<th align="center" valign="top">&#x00CD;ndice de independ&#x00EA;ncia da Alta Corte</th>
									<th align="center" valign="top">&#x00CD;ndice de independ&#x00EA;ncia da Baixa Corte</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top">NEP</th>
									<th align="center" valign="top">NMP</th>
									<th align="center" valign="top">F</th>
									<th align="center" valign="top">Poliarquia</th>
									<th align="center" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</th>
									<th align="center" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top" rowspan="2">&#x00CD;ndice de Constrangimentos do Judici&#x00E1;rio sobre o Executivo</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,910
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,980
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,889
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,867
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,892
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,819
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,683
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,976
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,909
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,970
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top" rowspan="2">Compliance com o Judici&#x00E1;rio</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,851
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,832
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,860
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,807
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,847
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,481
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,850
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,748
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,847
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top" rowspan="2">Compliance com a Alta Corte</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,823
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,800
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,843
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,748
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,671
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,972
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,912
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,942
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top" rowspan="2">&#x00CD;ndice de independ&#x00EA;ncia da Alta Corte</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,946
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,890
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,898
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,534
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,842
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,681
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,868
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top" rowspan="2">&#x00CD;ndice de independ&#x00EA;ncia da Baixa Corte</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,856
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,928
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,470
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,803
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,638
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,834
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">NEP</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,834
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,671
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,896
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,772
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,944
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">NMP</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,394
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,775
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,591
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,811
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">F</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,661
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,796
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,802
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Poliarquia</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,914
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
									<td align="center" valign="top">0,966
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,919
										<xref ref-type="table-fn" rid="TFN14">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN14">
								<label>**.</label>
								<p>A correla&#x00E7;&#x00E3;o &#x00E9; significativa no n&#x00ED;vel 0,01 (bilateral).</p>
							</fn>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
					<p>Devido a essa associa&#x00E7;&#x00E3;o entre as vari&#x00E1;veis, o ideal a se fazer &#x00E9; uma an&#x00E1;lise fatorial. Segundo 
						<xref ref-type="bibr" rid="B20">Hair 
							<italic>et. al.</italic> (2005
						</xref>, p. 89), &#x201C;a an&#x00E1;lise fatorial pode ser usada para examinar padr&#x00F5;es ou rela&#x00E7;&#x00F5;es latentes em um grande n&#x00FA;mero de vari&#x00E1;veis e determinar se a informa&#x00E7;&#x00E3;o pode ser condensada ou resumida em um conjunto menor de fatores ou componentes.&#x201D; Esse tipo de an&#x00E1;lise &#x00E9; uma t&#x00E9;cnica multivariada de m&#x00E9;todos estat&#x00ED;sticos, cujo prop&#x00F3;sito &#x00E9; definir a estrutura subjacente em uma matriz de dados (
						<xref ref-type="bibr" rid="B20">Hair 
							<italic>et. al.</italic> 2005
						</xref>, p. 91). As vari&#x00E1;veis independentes tamb&#x00E9;m seguem o mesmo padr&#x00E3;o de correla&#x00E7;&#x00E3;o como mostrado abaixo. O m&#x00E9;todo de extra&#x00E7;&#x00E3;o &#x00E9; o de componentes principais com rota&#x00E7;&#x00E3;o 
						<italic>varimax</italic> com 25 intera&#x00E7;&#x00F5;es por converg&#x00EA;ncia. O fator foi salvo por m&#x00E9;todo de regress&#x00E3;o cuja vari&#x00E1;vel ficar&#x00E1; padronizada, como se verificar&#x00E1; mais adiante.
					</p>
					<p>
						<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior (2010)</xref> estabelecem didaticamente tr&#x00EA;s est&#x00E1;gios de planejamento de uma an&#x00E1;lise fatorial. No primeiro deles, h&#x00E1; quatro pressupostos a serem satisfeitos: 1) n&#x00FA;mero m&#x00ED;nimo de casos entre 50 e 100 e a raz&#x00E3;o de 5 casos para cada vari&#x00E1;vel. Embora n&#x00E3;o haja 100 casos, o que, segundo 
						<xref ref-type="bibr" rid="B20">Hair 
							<italic>et. al.</italic> (2005)
						</xref>, seria o ideal para um resultado mais robusto, a raz&#x00E3;o entre o n&#x00FA;mero de casos e a quantidade de vari&#x00E1;veis deve ser maior do que cinco para um. Sendo assim, com 29 eventos e tr&#x00EA;s vari&#x00E1;veis, esse pressuposto foi satisfeito. 2) os coeficientes de correla&#x00E7;&#x00E3;o entre as vari&#x00E1;veis devem ficar acima de 0,30. Por ambas as tabelas de correla&#x00E7;&#x00E3;o, fica claro que esse pressuposto tamb&#x00E9;m foi satisfeito. 3) o teste de Kaiser-Meyer-Olklin (KMO), que varia entre 0 e 1 (quanto mais pr&#x00F3;ximo de 1, melhor). Para 
						<xref ref-type="bibr" rid="B20">Hair 
							<italic>et. al.</italic> 2005
						</xref>, um KMO de 0,50 &#x00E9; consider&#x00E1;vel aceit&#x00E1;vel. 4) o 
						<italic>Bartlett&#x2019;s Test of Sphericity</italic> (BTS) deve ter um 
						<italic>p</italic> valor &#x003C; 0,05. A 
						<xref ref-type="table" rid="t16">Tabela 4</xref>, a seguir, apresenta os coeficientes desses dois testes tanto em rela&#x00E7;&#x00E3;o &#x00E0;s vari&#x00E1;veis dependentes quanto em rela&#x00E7;&#x00E3;o &#x00E0;s vari&#x00E1;veis independentes (
						<xref ref-type="table" rid="t16">Tabela 4</xref>).
					</p>
					<table-wrap id="t16">
						<label>Tabela 4</label>
						<caption>
							<title>Teste de Kaiser-Meyer-Olkin (KMO) e Teste de Esfericidade de Bartlett</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="33%">
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top">Testes</th>
									<th align="center" valign="top">Indicador Judicial a partir do V-DEM</th>
									<th align="center" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">Kaiser-Meyer-Olkin (KMO)</td>
									<td align="center" valign="top">0,728</td>
									<td align="center" valign="top">0,716</td>
								</tr>
								<tr>
									<td align="left" valign="top">BTS</td>
									<td align="center" valign="top">0,000</td>
									<td align="center" valign="top">0,000</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
					<p>Superado esse primeiro est&#x00E1;gio de satisfa&#x00E7;&#x00E3;o dos pressupostos, o segundo &#x00E9; centrado na t&#x00E9;cnica de extra&#x00E7;&#x00E3;o dos fatores: componentes principais, fatores principais, fatora&#x00E7;&#x00E3;o por imagem, fatora&#x00E7;&#x00E3;o por verossimilhan&#x00E7;a m&#x00E1;xima, fatora&#x00E7;&#x00E3;o alfa, m&#x00ED;nimos quadrados n&#x00E3;o ponderados e m&#x00ED;nimos quadrados (
						<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 167). Os autores mostram que tanto a an&#x00E1;lise de componentes principais (ACP) quanto a an&#x00E1;lise fatorial (AF) &#x201C;procuram produzir combina&#x00E7;&#x00F5;es lineares de vari&#x00E1;veis que capturem o m&#x00E1;ximo poss&#x00ED;vel da vari&#x00E2;ncia das vari&#x00E1;veis observadas&#x201D; (
						<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p.&#x00A0;167). Sobre a melhor t&#x00E9;cnica, os autores mostram que
					</p>
					<disp-quote>
						<p>Para 
							<xref ref-type="bibr" rid="B18">Garson 2009</xref> &#x201C;a an&#x00E1;lise de componentes principais &#x00E9; em geral preferida para fins de redu&#x00E7;&#x00E3;o de dados (traduzindo o espa&#x00E7;o das vari&#x00E1;veis num espa&#x00E7;o &#x00F3;timo de fatores), enquanto a an&#x00E1;lise fatorial &#x00E9; em geral preferida quando o objetivo da pesquisa &#x00E9; detectar a estrutura dos dados ou a modelagem causal&#x201D;. De acordo com Hair 
							<italic>et al.</italic>, 2006, na maioria dos casos tanto a ACP, quanto a AF, chegam aos mesmos resultados se o n&#x00FA;mero de vari&#x00E1;veis superar 30 ou se as comunalidades excederem 0,60 para a maior parte das vari&#x00E1;veis. Este artigo utilizar&#x00E1; o m&#x00E9;todo de componentes principais por ser o mais utilizado 
							<xref ref-type="bibr" rid="B34">PALLANT, 2007</xref>. (
							<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 167).
						</p>
					</disp-quote>
					<p>A t&#x00E9;cnica utilizada, nessa pesquisa, para reduzir essas duas categorias de vari&#x00E1;veis a dois fatores &#x00E9; a de componentes principais, pela qual se mede a quantia total de vari&#x00E2;ncia que uma vari&#x00E1;vel original compartilha com todas as outras vari&#x00E1;veis inclu&#x00ED;das na an&#x00E1;lise. A quest&#x00E3;o agora passa a ser a quantidade de fatores (
						<xref ref-type="table" rid="t17">Tabela 5</xref>).
					</p>
					<table-wrap id="t17">
						<label>Tabela 5</label>
						<caption>
							<title>Eigenvalues
								<xref ref-type="table-fn" rid="TFN15">*</xref> (Crit&#x00E9;rio de Kaiser para uso de an&#x00E1;lise fatorial)
							</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="9%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top" colspan="5" style="border-bottom: thin solid;">Indicador Judicial a partir do V-DEM</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top" colspan="5" style="border-bottom: thin solid;">Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
								</tr>
								<tr>
									<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">Componentes</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">
										<italic>Eigenvalues Iniciais</italic>
									</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">Componentes</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top" colspan="2" style="border-bottom: thin solid;">
										<italic>Eigenvalues Iniciais</italic>
									</th>
								</tr>
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">Total</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top">% da vari&#x00E2;ncia</th>
									<th align="center" valign="top">Cumulativo %</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top">Total</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top">% da vari&#x00E2;ncia</th>
									<th align="center" valign="top">Cumulativo %</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">1</td>
									<td align="center" valign="top">4,504</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">90,073</td>
									<td align="center" valign="top">90,073</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">3,97</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">79,405</td>
									<td align="center" valign="top">79,405</td>
								</tr>
								<tr>
									<td align="left" valign="top">2</td>
									<td align="center" valign="top">0,286</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">5,719</td>
									<td align="center" valign="top">95,792</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">2</td>
									<td align="center" valign="top">0,667</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">13,331</td>
									<td align="center" valign="top">92,736</td>
								</tr>
								<tr>
									<td align="left" valign="top">3</td>
									<td align="center" valign="top">0,156</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">3,123</td>
									<td align="center" valign="top">98,915</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">3</td>
									<td align="center" valign="top">0,227</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">4,531</td>
									<td align="center" valign="top">97,267</td>
								</tr>
								<tr>
									<td align="left" valign="top">4</td>
									<td align="center" valign="top">0,048</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,954</td>
									<td align="center" valign="top">99,869</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">4</td>
									<td align="center" valign="top">0,105</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">2,091</td>
									<td align="center" valign="top">99,358</td>
								</tr>
								<tr>
									<td align="left" valign="top">5</td>
									<td align="center" valign="top">0,007</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,131</td>
									<td align="center" valign="top">100</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">5</td>
									<td align="center" valign="top">0,032</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">0,642</td>
									<td align="center" valign="top">100</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN15">
								<label>*</label>
								<p>Com base em Garson (2009) quanto maior o eigenvalue, maior a contribui&#x00E7;&#x00E3;o explicativa da vari&#x00E2;ncia das vari&#x00E1;veis, ou seja, quanto maior o eigenvalue maior &#x00E9; a carga de vari&#x00E2;ncia que o fator acumula.</p>
							</fn>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
					<disp-quote>
						<p>Aqui o pesquisador enfrenta um 
							<italic>trade off</italic> entre parcim&#x00F4;nia e explica&#x00E7;&#x00E3;o. Quanto mais fatores forem extra&#x00ED;dos, menor &#x00E9; o grau de parcim&#x00F4;nia, no entanto, maior &#x00E9; a quantidade total de vari&#x00E2;ncia pelos fatores. Por outro lado, quanto menos fatores forem extra&#x00ED;dos, maior &#x00E9; o grau de parcim&#x00F4;nia, todavia, menor ser&#x00E1; a quantidade total de vari&#x00E2;ncia carregada pelos fatores. Dessa forma, a solu&#x00E7;&#x00E3;o &#x00F3;tima &#x00E9; identificar o n&#x00FA;mero m&#x00ED;nimo de fatores, que maximiza a quantidade de vari&#x00E2;ncia total explicada. (
							<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 168).
						</p>
					</disp-quote>
					<p>Segundo esses autores, a regra do 
						<italic>eigenvalue</italic> (crit&#x00E9;rio de Kaiser) sugere que devem ser extra&#x00ED;dos apenas fatores com 
						<italic>eigenvalue</italic> acima de 1, j&#x00E1; que &#x201C;o fator que apresenta baixo 
						<italic>eigenvalue</italic> est&#x00E1; contribuindo pouco para explicar a vari&#x00E2;ncia nas vari&#x00E1;veis originais&#x201D; (
						<xref ref-type="bibr" rid="B17">Figueiredo Filho &#x0026; Silva J&#x00FA;nior 2010</xref>, p. 168). Para eles, o segundo est&#x00E1;gio do planejamento da an&#x00E1;lise fatorial deve seguir por: 1) tipo de extra&#x00E7;&#x00E3;o (que, no caso desse trabalho, &#x00E9; a dos componentes principais); 2) regra de Kaiser, onde apenas fatores com 
						<italic>eigenvalue</italic> acima de 1 devem ser extra&#x00ED;dos; 3) a vari&#x00E2;ncia acumulada deve ser acima de 60%. As tabelas a seguir resumem esses dados tanto para as vari&#x00E1;veis dependentes quanto para as vari&#x00E1;veis independentes (
						<xref ref-type="table" rid="t18">Tabela 6</xref>).
					</p>
					<table-wrap id="t18">
						<label>Tabela 6</label>
						<caption>
							<title>Descri&#x00E7;&#x00E3;o das vari&#x00E1;veis fatorizadas</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="16%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">N</th>
									<th align="center" valign="top">Min</th>
									<th align="center" valign="top">Max</th>
									<th align="center" valign="top">M&#x00E9;dia</th>
									<th align="center" valign="top">Desvio padr&#x00E3;o</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">Indicador Judicial a partir do V-DEM</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">-1,17919</td>
									<td align="center" valign="top">1,97663</td>
									<td align="center" valign="top">0</td>
									<td align="center" valign="top">1</td>
								</tr>
								<tr>
									<td align="left" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">-1,44771</td>
									<td align="center" valign="top">1,65899</td>
									<td align="center" valign="top">0</td>
									<td align="center" valign="top">1</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
					<p>A seguir mostramos a rela&#x00E7;&#x00E3;o das vari&#x00E1;veis fatorizadas com as demais vari&#x00E1;veis independentes. &#x00C9; poss&#x00ED;vel verificar, portanto, que a rela&#x00E7;&#x00E3;o de uma &#x00FA;nica vari&#x00E1;vel dependente fatorizada com as demais vari&#x00E1;veis independentes n&#x00E3;o ficou muito alterada, possibilitando a utiliza&#x00E7;&#x00E3;o de um modelo linear simples (MQO) (
						<xref ref-type="table" rid="t19">Tabela 7</xref>).
					</p>
					<table-wrap id="t19">
						<label>Tabela 7</label>
						<caption>
							<title>Matriz de Correla&#x00E7;&#x00E3;o de Pearson com vari&#x00E1;vel dependente fatorizada</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="12%">
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">Indicador Judicial (V-DEM)</th>
									<th align="center" valign="top">NEP</th>
									<th align="center" valign="top">NMP</th>
									<th align="center" valign="top">F</th>
									<th align="center" valign="top">Poliarquia</th>
									<th align="center" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</th>
									<th align="center" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">Indicador Judicial (V-DEM)</td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,904
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,893
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,599
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,937
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,819
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,940
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">NEP</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,834
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,671
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,896
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,772
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,944
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">NMP</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,394
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,775
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,591
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,811
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">F</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,661
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,796
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,802
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Poliarquia</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,914
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
									<td align="center" valign="top">0,966
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
									<td align="center" valign="top">0,919
										<xref ref-type="table-fn" rid="TFN16">**</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">69</td>
								</tr>
								<tr>
									<td align="left" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top">1</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN16">
								<label>**.</label>
								<p>A correla&#x00E7;&#x00E3;o &#x00E9; significativa no n&#x00ED;vel 0,01 (bilateral).</p>
							</fn>
							<attrib>Fonte: Os autores com dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> e 
								<xref ref-type="bibr" rid="B7">Coppedge 
									<italic>et. al.</italic> 2017a
								</xref>.
							</attrib>
						</table-wrap-foot>
					</table-wrap>
				</sec>
			</sec>
			<sec>
				<title>IV. Modelos formais e an&#x00E1;lises de dados</title>
				<p>Devido &#x00E0; natureza e &#x00E0; distribui&#x00E7;&#x00E3;o das vari&#x00E1;veis, para testar a hip&#x00F3;tese de que quanto maior a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria, maior &#x00E9; o empoderamento judicial, foram adotadas duas t&#x00E9;cnicas de estat&#x00ED;stica inferencial: a binomial negativa, que faz parte dos modelos lineares generalizados e o cl&#x00E1;ssico m&#x00ED;nimos quadrados ordin&#x00E1;rios (MQO) dos modelos lineares simples. A escolha da t&#x00E9;cnica se deu em virtude da distribui&#x00E7;&#x00E3;o da vari&#x00E1;vel dependente, que neste caso, viola as regras do modelo linear, sendo a principal delas a da distribui&#x00E7;&#x00E3;o normal. Os modelos lineares generalizados buscam fazer frente a vari&#x00E1;veis que n&#x00E3;o possuem distribui&#x00E7;&#x00E3;o normal, mais precisamente, buscam atender a distribui&#x00E7;&#x00F5;es t&#x00ED;picas de contagens. V&#x00E1;rios estudos d&#x00E3;o suporte te&#x00F3;rico aos modelos lineares generalizados, destacando-se os de 
					<xref ref-type="bibr" rid="B33">Nelder &#x0026; Wedderburn 1972</xref>, 
					<xref ref-type="bibr" rid="B15">Feigl &#x0026; Zelen 1965</xref>, 
					<xref ref-type="bibr" rid="B3">Berkson 1944</xref>, 
					<xref ref-type="bibr" rid="B13">Dyke &#x0026; Petterson 1952</xref>.
				</p>
				<p>As vari&#x00E1;veis dependentes est&#x00E3;o na primeira linha, seguidas das t&#x00E9;cnicas utilizadas. As vari&#x00E1;veis independentes est&#x00E3;o na primeira coluna &#x00E0; esquerda. Foram feitos tr&#x00EA;s modelos (entre par&#x00EA;nteses) para cada t&#x00E9;cnica. O primeiro modelo &#x00E9; o irrestrito, com todas as vari&#x00E1;veis independentes para se verificar multicolinearidade e buscar um modelo mais ajustado, mais parcimonioso, que denominamos de modelo 2, onde foram mantidas apenas as vari&#x00E1;veis que resistiram ao teste de multicolineariedade (VIF &#x2013; 
					<italic>Variance Inflation Factor</italic>). J&#x00E1; o terceiro modelo obrigatoriamente tem como &#x00FA;nica vari&#x00E1;vel independente o indicador de fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria, atrav&#x00E9;s de an&#x00E1;lise fatorial das demais vari&#x00E1;veis independentes. Os modelos est&#x00E3;o dispostos nas tabelas a seguir, ap&#x00F3;s seguem as an&#x00E1;lises (
					<xref ref-type="table" rid="t20">Tabelas 8</xref> e 
					<xref ref-type="table" rid="t21">9</xref>).
				</p>
				<table-wrap id="t20">
					<label>Tabela 8</label>
					<caption>
						<title>Modelos de Regress&#x00E3;o Binomial Negativo e Linear Simples (MQO)</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="6%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top">Vari&#x00E1;veis Dependentes</th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">iSTF</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">LJI (Latent Judicial Independence Index)</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">XCONST</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">Indicador Judicial (V-DEM)</th>
							</tr>
							<tr>
								<th align="left" valign="top">[t&#x00E9;cnica]</th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[Binomial Negativo]</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[MQO]</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[Binomial Negativo]</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top" colspan="3" style="border-bottom: thin solid;">[MQO]</th>
							</tr>
							<tr>
								<th align="left" valign="top">(modelo)</th>
								<th align="center" valign="top">(1)</th>
								<th align="center" valign="top">(2)</th>
								<th align="center" valign="top">(3)</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">(1)</th>
								<th align="center" valign="top">(2)</th>
								<th align="center" valign="top">(3)</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">(1)</th>
								<th align="center" valign="top">(2)</th>
								<th align="center" valign="top">(3)</th>
								<th align="center" valign="top"></th>
								<th align="center" valign="top">(1)</th>
								<th align="center" valign="top">(2)</th>
								<th align="center" valign="top">(3)</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">NEP</td>
								<td align="center" valign="top">0,9904</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">-0,0024
									<xref ref-type="table-fn" rid="TFN17">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,9644</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">-0,0028</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">NMP</td>
								<td align="center" valign="top">1,0504
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top">1,1143
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">-0,0081</td>
								<td align="center" valign="top">-0,0025</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,9984</td>
								<td align="center" valign="top">0,9799</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,1547
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top">0,1480
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">F</td>
								<td align="center" valign="top">0,6515
									<xref ref-type="table-fn" rid="TFN17">**</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,044</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">4,8309*</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,1135</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Poliarquia</td>
								<td align="center" valign="top">7,3364
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,5395
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1,1236</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">2,0031
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top">2,1717
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica</td>
								<td align="center" valign="top">0,9365
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top">1,0393
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,0263
									<xref ref-type="table-fn" rid="TFN17">**</xref>
								</td>
								<td align="center" valign="top">0,0508
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1,1675
									<xref ref-type="table-fn" rid="TFN17">**</xref>
								</td>
								<td align="center" valign="top">1,2303
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,0134</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1,4546
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,1494
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">1,5321
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,9247
									<xref ref-type="table-fn" rid="TFN18">***</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top">Log Likelihood</td>
								<td align="center" valign="top">-227,214</td>
								<td align="center" valign="top">-276,888</td>
								<td align="center" valign="top">-291,784</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">-102,504</td>
								<td align="center" valign="top">-104,314</td>
								<td align="center" valign="top">-122,951</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Pseudo R2</td>
								<td align="center" valign="top">0,3291</td>
								<td align="center" valign="top">0,1825</td>
								<td align="center" valign="top">0,1385</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,2735</td>
								<td align="center" valign="top">0,2607</td>
								<td align="center" valign="top">0,1515</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Prob. Chi2</td>
								<td align="center" valign="top">1</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,497</td>
								<td align="center" valign="top">0,499</td>
								<td align="center" valign="top">0,5</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">R2 Ajustado</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,812</td>
								<td align="center" valign="top">0,781</td>
								<td align="center" valign="top">0,647</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0,9486</td>
								<td align="center" valign="top">0,946</td>
								<td align="center" valign="top">0,8552</td>
							</tr>
							<tr>
								<td align="left" valign="top">Prob. (F)</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">0</td>
							</tr>
							<tr>
								<td align="left" valign="top">N</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">69</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">64</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top">61</td>
								<td align="center" valign="top">71</td>
								<td align="center" valign="top">71</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN17">
							<label>**</label>
							<p>valor-
								<italic>p</italic> &#x003C; 0,05,
							</p>
						</fn>
						<fn id="TFN18">
							<label>***</label>
							<p>valor-
								<italic>p</italic> &#x003C; 0,01.
							</p>
						</fn>
						<attrib>Fonte: Os autores com dados de 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>, 
							<xref ref-type="bibr" rid="B7">Coppedge 
								<italic>et. al.</italic> 2017a
							</xref> e 
							<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>.
						</attrib>
					</table-wrap-foot>
				</table-wrap>
				<table-wrap id="t21">
					<label>Tabela 9</label>
					<caption>
						<title>Modelo de Regress&#x00E3;o Multinomial (logit e probit)</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="33%">
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top">Vari&#x00E1;veis Independentes</th>
								<th align="center" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
								<th align="center" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
							</tr>
							<tr>
								<th align="left" valign="top">[t&#x00E9;cnica]</th>
								<th align="center" valign="top">[Logit Multinomial]</th>
								<th align="center" valign="top">[Probit Multinomial]</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">XCONST_cat</td>
								<td align="center" valign="top"></td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Fraco (categoria-base)</td>
								<td align="center" valign="top">-</td>
								<td align="center" valign="top">-</td>
							</tr>
							<tr>
								<td align="left" valign="top">M&#x00E9;dio</td>
								<td align="center" valign="top">3,586
									<xref ref-type="table-fn" rid="TFN19">**</xref>
								</td>
								<td align="center" valign="top">2,6275
									<xref ref-type="table-fn" rid="TFN20">***</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top">Forte</td>
								<td align="center" valign="top">4,7777
									<xref ref-type="table-fn" rid="TFN20">***</xref>
								</td>
								<td align="center" valign="top">3,6622
									<xref ref-type="table-fn" rid="TFN20">***</xref>
								</td>
							</tr>
							<tr>
								<td align="left" valign="top">Log Likelihood</td>
								<td align="center" valign="top">-25,48</td>
								<td align="center" valign="top">-25,383</td>
							</tr>
							<tr>
								<td align="left" valign="top">Pseudo R2</td>
								<td align="center" valign="top">0,5086</td>
								<td align="center" valign="top"></td>
							</tr>
							<tr>
								<td align="left" valign="top">Prob. Chi2</td>
								<td align="center" valign="top">0</td>
								<td align="center" valign="top">0,0001</td>
							</tr>
							<tr>
								<td align="left" valign="top">N</td>
								<td align="center" valign="top">65</td>
								<td align="center" valign="top">65</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN19">
							<label>**</label>
							<p>valor-
								<italic>p</italic> &#x003C; 0,05,
							</p>
						</fn>
						<fn id="TFN20">
							<label>***</label>
							<p>valor-
								<italic>p</italic> &#x003C; 0,01.
							</p>
						</fn>
						<attrib>Fonte: Os autores.</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>Os dados corroboram as hip&#x00F3;teses de que quanto maior a fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria, maior &#x00E9; a tend&#x00EA;ncia de empoderamento do Poder Judici&#x00E1;rio. Para o teste do indicador iSTF, as vari&#x00E1;veis NMP e Competi&#x00E7;&#x00E3;o Pol&#x00ED;tica mostraram um impacto positivo no indicador. Como os valores est&#x00E3;o exponencializados, a interpreta&#x00E7;&#x00E3;o &#x00E9; que, o aumento de uma unidade no n&#x00FA;mero m&#x00ED;nimo de partidos aumente a chance de o Judici&#x00E1;rio ser fortalecido em 11,43%. J&#x00E1; o aumento de uma unidade na competi&#x00E7;&#x00E3;o pol&#x00ED;tica d&#x00E1; um aumento de chance de 3,93%. J&#x00E1; o indicador de fragmenta&#x00E7;&#x00E3;o &#x00E9; mais complexo, pois ele varia em desvios-padr&#x00E3;o. Logo, o aumento de um desvio padr&#x00E3;o no indicador, produz um aumento de chance de 45,46% no indicador iSTF. O mais intuitivo &#x00E9; ficarmos com o modelo dois. De todo modo, tanto o modelo 2 quanto o modelo 3 mostram que quanto maior &#x00E9; a fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria, mais forte o Judici&#x00E1;rio fica.</p>
				<p>Para o teste da vari&#x00E1;vel LJI (
					<italic>Latent Judicial Independence</italic>) de 
					<xref ref-type="bibr" rid="B29">Linzer &#x0026; Staton 2015</xref>, apenas uma vari&#x00E1;vel foi estatisticamente significante no modelo parcimonioso. Como o modelo &#x00E9; linear simples, um aumento de uma unidade na competi&#x00E7;&#x00E3;o pol&#x00ED;tica produz um aumento de 0,05 na unidade do LJI, que varia de 0,079 a 0,637. J&#x00E1; o modelo tr&#x00EA;s aponta que o aumento de um desvio padr&#x00E3;o no indicador de fragmenta&#x00E7;&#x00E3;o, produz um aumento de 0,1494 no LJI. Em ambos os casos &#x00E9; bem intuitivo afirmar que, novamente, mas com outras formas de mensura&#x00E7;&#x00E3;o para poder judicial, o aumento da fragmenta&#x00E7;&#x00E3;o aumenta os indicadores que medem o poder do Judici&#x00E1;rio.
				</p>
				<p>Para o teste da vari&#x00E1;vel XCONST, novamente apenas a vari&#x00E1;vel de competi&#x00E7;&#x00E3;o pol&#x00ED;tica foi estatisticamente significante, onde o aumento de uma unidade provoca o aumento de chance de 23,03% na vari&#x00E1;vel dependente que mede o n&#x00ED;vel de constrangimento do judici&#x00E1;rio sobre o Executivo. J&#x00E1; o indicador de fragmenta&#x00E7;&#x00E3;o aponta um aumento de 53,21%.</p>
				<p>Para o teste da vari&#x00E1;vel fatorizada V-Dem Judicial Index, duas vari&#x00E1;veis apresentaram import&#x00E2;ncia estat&#x00ED;stica: NMP e poliarquia. Significa dizer que, o aumento de uma unidade nessas vari&#x00E1;veis aumenta em 0,1480 e 2,1717 desvios-padr&#x00E3;o na vari&#x00E1;vel dependente, respectivamente. J&#x00E1; o indicador de fragmenta&#x00E7;&#x00E3;o produz um aumento de 0,9247 desvio-padr&#x00E3;o. A seguir o teste para a vari&#x00E1;vel XCONST categorizada em 3 n&#x00ED;veis.</p>
				<p>Para a vari&#x00E1;vel ordinal foi utilizada a t&#x00E9;cnica multinomial (
					<italic>mlogit</italic> no STATA) e escolhemos a categoria fraca para ser o resultado-base. Em compara&#x00E7;&#x00E3;o com um constrangimento fraco, &#x00E9; mais prov&#x00E1;vel haver um constrangimento m&#x00E9;dio em havendo um aumento na fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico partid&#x00E1;ria. &#x00C9; ainda mais prov&#x00E1;vel haver um constrangimento forte em compara&#x00E7;&#x00E3;o com a categoria fraco. Os efeitos marginais tamb&#x00E9;m mostraram isso. No modelo 
					<italic>probit</italic>, l&#x00EA;-se praticamente da mesma forma, h&#x00E1; uma maior probabilidade de constrangimento m&#x00E9;dio e ainda maior em constrangimento forte, comparando com constrangimento fraco, quando se aumenta uma unidade na vari&#x00E1;vel dependente, que por estar fatorizada, essa unidade corresponde a um desvio padr&#x00E3;o, o que &#x00E9; um valor muito elevado, mas &#x00E9; interessante para se medir o impacto (se positivo ou negativo, e sua intensidade) (
					<xref ref-type="table" rid="t22">Tabela 10</xref>).
				</p>
				<table-wrap id="t22">
					<label>Tabela 10</label>
					<caption>
						<title>Efeitos Marginais</title>
					</caption>
					<table frame="hsides" rules="groups">
						<colgroup width="20%">
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
							<tr>
								<th align="left" valign="top"></th>
								<th align="center" valign="top">Vari&#x00E1;vel Indicador de Fragmenta&#x00E7;&#x00E3;o</th>
								<th align="center" valign="top">Dy/dx</th>
								<th align="center" valign="top">Erro padr&#x00E3;o</th>
								<th align="center" valign="top">P&#x0026;gt;|z|</th>
							</tr>
						</thead>
						<tbody style="border-bottom: thin solid; border-color: #000000">
							<tr>
								<td align="left" valign="top">logit</td>
								<td align="center" valign="top">Fraco</td>
								<td align="center" valign="top">-0,3088</td>
								<td align="center" valign="top">0,139</td>
								<td align="center" valign="top">0,027</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">M&#x00E9;dio</td>
								<td align="center" valign="top">-0,0595</td>
								<td align="center" valign="top">0,078</td>
								<td align="center" valign="top">0,446</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">Forte</td>
								<td align="center" valign="top">0,3684</td>
								<td align="center" valign="top">0,147</td>
								<td align="center" valign="top">0,012</td>
							</tr>
							<tr>
								<td align="left" valign="top">probit</td>
								<td align="center" valign="top">Fraco</td>
								<td align="center" valign="top">-0,4007</td>
								<td align="center" valign="top">0,145</td>
								<td align="center" valign="top">0,006</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">M&#x00E9;dio</td>
								<td align="center" valign="top">-0,0464</td>
								<td align="center" valign="top">0,081</td>
								<td align="center" valign="top">0,570</td>
							</tr>
							<tr>
								<td align="left" valign="top"></td>
								<td align="center" valign="top">Forte</td>
								<td align="center" valign="top">0,4471</td>
								<td align="center" valign="top">0,147</td>
								<td align="center" valign="top">0,002</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<attrib>Fonte: Os autores.</attrib>
					</table-wrap-foot>
				</table-wrap>
				<p>A 
					<xref ref-type="table" rid="t22">Tabela 10</xref> mostra os efeitos marginais ap&#x00F3;s o modelo 
					<italic>logit</italic> multinomial, onde se pode verificar que o aumento de uma unidade (desvio padr&#x00E3;o) no indicador de fragmenta&#x00E7;&#x00E3;o, h&#x00E1; uma probabilidade de 36,84% de haver um forte constrangimento do Judici&#x00E1;rio sobre o Executivo. No modelo 
					<italic>probit</italic> os efeitos marginais s&#x00E3;o praticamente os mesmos. H&#x00E1; uma maior probabilidade de um constrangimento forte em comparado com fraco, quando aumenta-se uma unidade na vari&#x00E1;vel independente.
				</p>
				<sec>
					<title>IV.1 Termos Interativos
						<xref ref-type="fn" rid="fn41">
							<sup>20</sup>
						</xref>
					</title>
					<p>A vari&#x00E1;vel regime (1 = democracia, 0 = ditadura) foi utilizada apenas para medir o efeito da fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tico-partid&#x00E1;ria sobre o empoderamento judicial nos diferentes tipos de regime enfrentados pelo Brasil. Sendo assim, o termo interativo foi criado a partir da vari&#x00E1;vel independente que se mostrou estatisticamente significante em todos os modelos acima, optamos ent&#x00E3;o pelo indicador de fragmenta&#x00E7;&#x00E3;o (FragFac). Os resultados da intera&#x00E7;&#x00E3;o de fragmenta&#x00E7;&#x00E3;o e regime est&#x00E3;o na 
						<xref ref-type="table" rid="t23">Tabela 11</xref>.
					</p>
					<table-wrap id="t23">
						<label>Tabela 11</label>
						<caption>
							<title>Impacto da Fragmenta&#x00E7;&#x00E3;o sobre Empoderamento em diferentes regimes (termos interativos)</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="25%">
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top">Vari&#x00E1;vel Dependente</th>
									<th align="center" valign="top">Regime</th>
									<th align="center" valign="top">iSTF</th>
									<th align="center" valign="top">Indicador Judicial (V-DEM)</th>
								</tr>
								<tr>
									<th align="left" valign="top">[t&#x00E9;cnica]</th>
									<th align="center" valign="top"></th>
									<th align="center" valign="top">[Binomial Negativo]</th>
									<th align="center" valign="top">[MQO]</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">Termo Interativo</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">Indicador de Fragmenta&#x00E7;&#x00E3;o</td>
									<td align="center" valign="top">0 (ditadura)</td>
									<td align="center" valign="top">1,1177
										<xref ref-type="table-fn" rid="TFN21">**</xref>
									</td>
									<td align="center" valign="top">0,7130
										<xref ref-type="table-fn" rid="TFN22">***</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top">1 (democracia)</td>
									<td align="center" valign="top">1,6947
										<xref ref-type="table-fn" rid="TFN22">***</xref>
									</td>
									<td align="center" valign="top">1,0606
										<xref ref-type="table-fn" rid="TFN22">***</xref>
									</td>
								</tr>
								<tr>
									<td align="left" valign="top">Log Likelihood</td>
									<td align="center" valign="top">-286,326</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">Pseudo R2</td>
									<td align="center" valign="top">0,1775</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">Prob,&#x00A0;Chi2</td>
									<td align="center" valign="top">0</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">R2 Adjusted</td>
									<td align="center" valign="top">0,8675</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">Prob,&#x00A0;(F)</td>
									<td align="center" valign="top">0</td>
									<td align="center" valign="top"></td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">N</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top">71</td>
									<td align="center" valign="top"></td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN21">
								<label>**</label>
								<p>valor-
									<italic>p</italic> &#x003C; 0,05,
								</p>
							</fn>
							<fn id="TFN22">
								<label>***</label>
								<p>valor-
									<italic>p</italic> &#x003C; 0,01.
								</p>
							</fn>
							<attrib>Fonte: Os autores.</attrib>
						</table-wrap-foot>
					</table-wrap>
					<p>Fica evidente que, quando o per&#x00ED;odo &#x00E9; democr&#x00E1;tico, o impacto da fragmenta&#x00E7;&#x00E3;o sobre o empoderamento judicial &#x00E9; ainda maior, e isso &#x00E9; bastante intuitivo visto que ditadores n&#x00E3;o costumam aceitar contesta&#x00E7;&#x00F5;es, principalmente dentro dos tr&#x00EA;s poderes. Embora tenha havido um discreto empoderamento judicial durante os per&#x00ED;odos ditatoriais, o &#x00FA;nico ator com capacidade de ingressar com a&#x00E7;&#x00F5;es constitucionais era o Procurador-Geral da Rep&#x00FA;blica, de livre e exclusiva nomea&#x00E7;&#x00E3;o do Presidente da Rep&#x00FA;blica durante todo o regime ditatorial, controlando assim as demandas apresentadas &#x00E0; Suprema Corte. Isso fica mais evidente no gr&#x00E1;fico a seguir.</p>
					<p>A imagem &#x00E0; esquerda mostra a intera&#x00E7;&#x00E3;o da fragmenta&#x00E7;&#x00E3;o pol&#x00ED;tica com regime impactando no indicador iSTF, enquanto na imagem &#x00E0; direita se v&#x00EA; o impacto da fragmenta&#x00E7;&#x00E3;o no indicador 
						<italic>V-Dem Judicial Index</italic>. Em ambos os casos &#x00E9; poss&#x00ED;vel verificar o efeito do regime pol&#x00ED;tico no empoderamento do Judici&#x00E1;rio. Por fim, a partir dos dados de 
						<xref ref-type="bibr" rid="B1">Barbosa 2015</xref> verificamos um banco com 23 emendas constitucionais que modificaram poderes e prerrogativas do Poder Judici&#x00E1;rio nas constitui&#x00E7;&#x00F5;es brasileiras de 1891 a 2013. A tabela a seguir organiza essas informa&#x00E7;&#x00F5;es (
						<xref ref-type="fig" rid="f8">Gr&#x00E1;fico 4</xref>).
					</p>
					<fig id="f8">
						<label>Gr&#x00E1;fico 4</label>
						<caption>
							<title>Efeito Marginal de Fragmenta&#x00E7;&#x00E3;o Pol&#x00ED;tica sobre Empoderamento Judicial</title>
						</caption>
						<graphic xlink:href="0104-4478-rsocp-28-73-e007-gf08.tif"/>
						<attrib>Fonte: Os autores, baseados em 
							<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
						</attrib>
					</fig>
					<p>J&#x00E1; em rela&#x00E7;&#x00E3;o a quem mais contribuiu para alterar textos constitucionais para empoderar o Judici&#x00E1;rio, a tabela de refer&#x00EA;ncias cruzadas a seguir sumariza os dados (
						<xref ref-type="table" rid="t24">Tabela 12</xref>).
					</p>
					<table-wrap id="t24">
						<label>Tabela 12</label>
						<caption>
							<title>Autoria e Regime por emendas constitucionais de 1891 a 2013</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup width="25%">
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
								<tr>
									<th align="left" valign="top"></th>
									<th align="center" valign="top">Legislativo</th>
									<th align="center" valign="top">Executivo</th>
									<th align="center" valign="top">Total</th>
								</tr>
							</thead>
							<tbody style="border-bottom: thin solid; border-color: #000000">
								<tr>
									<td align="left" valign="top">Democracia</td>
									<td align="center" valign="top">5 (50)</td>
									<td align="center" valign="top">5 (50)</td>
									<td align="center" valign="top">10 (100)</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top">[50]</td>
									<td align="center" valign="top">[41,6]</td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">Ditadura</td>
									<td align="center" valign="top">5 (41,6)</td>
									<td align="center" valign="top">7 (58,4)</td>
									<td align="center" valign="top">12 (100)</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top">[50]</td>
									<td align="center" valign="top">[58,4]</td>
									<td align="center" valign="top"></td>
								</tr>
								<tr>
									<td align="left" valign="top">Total</td>
									<td align="center" valign="top">10 (45,5)</td>
									<td align="center" valign="top">12 (54,5)</td>
									<td align="center" valign="top">22 (100)</td>
								</tr>
								<tr>
									<td align="left" valign="top"></td>
									<td align="center" valign="top">[100]</td>
									<td align="center" valign="top">[100]</td>
									<td align="center" valign="top">[100]</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<attrib>Fonte: Os autores, a partir dos dados de 
								<xref ref-type="bibr" rid="B1">Barbosa 2015</xref>.
							</attrib>
							<attrib>Obs.: As frequ&#x00EA;ncias das linhas est&#x00E3;o entre par&#x00EA;nteses, e as frequ&#x00EA;ncias das colunas est&#x00E3;o entre colchetes.</attrib>
						</table-wrap-foot>
					</table-wrap>
					<p>Das 22 emendas, o Executivo foi autor de 54,5%. No regime ditatorial essa participa&#x00E7;&#x00E3;o foi ainda maior, lembrando que durante o regime ditatorial, o controle de constitucionalidade abstrato era de autoria exclusiva do Procurador-Geral da Rep&#x00FA;blica, que era de exclusiva e livre nomea&#x00E7;&#x00E3;o do Presidente da Rep&#x00FA;blica, tendo este total controle sobre a revis&#x00E3;o abstrata. Isso mostra que n&#x00E3;o apenas o Legislativo, mas principalmente o Executivo teve bastante interesse e iniciativa de aumentar as prerrogativas do Poder Judici&#x00E1;rio.</p>
				</sec>
			</sec>
			<sec sec-type="conclusions">
				<title>V. Conclus&#xF5;es</title>
				<p>Se na retomada da discuss&#x00E3;o democr&#x00E1;tica nos modelos p&#x00F3;s-absolutismo o Parlamento era a institui&#x00E7;&#x00E3;o central, n&#x00E3;o h&#x00E1; d&#x00FA;vidas que no p&#x00F3;s-guerra o Judici&#x00E1;rio passou a ter papel de destaque, principalmente em momentos de crise pol&#x00ED;tica, onde o alinhamento pol&#x00ED;tico (ou coaliz&#x00F5;es necess&#x00E1;rias) se tornaram ponto chave para o bom funcionamento das democracias. N&#x00E3;o h&#x00E1; como negar que hoje as Supremas Cortes passaram a ser uma pe&#x00E7;a fundamental na engrenagem do processo decis&#x00F3;rio, diante da incapacidade dos poderes eleitos em resolverem impasses pol&#x00ED;ticos. O que era, nas palavras de Montesquieu &#x201C;quase nada&#x201D;, ou segundo Aliomar Baleeiro (1968) &#x201C;um desconhecido&#x201D;, se tornou a Rainha do tabuleiro de um jogo de xadrez.</p>
				<p>No Brasil esse processo, embora consolidado pela Constitui&#x00E7;&#x00E3;o de 1988, continuou a evoluir, dando ao Supremo Tribunal Federal a chance de exercer uma capacidade decis&#x00F3;ria n&#x00E3;o prevista no texto constitucional. Os modelos foram contundentes em demonstrar que a fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria tem impacto positivo e estatisticamente significante no aumento de poder do Supremo Tribunal Federal e que esse impacto &#x00E9; mais forte no per&#x00ED;odo democr&#x00E1;tico quando comparado com o per&#x00ED;odo ditatorial. Tamb&#x00E9;m ficou comprovado que o aumento de poder do STF se deu majoritariamente por emendas constitucionais, das quais o Executivo foi autor da maior parte. Como j&#x00E1; foi alertado anteriormente, outras vari&#x00E1;veis podem ter peso relativo na explica&#x00E7;&#x00E3;o de decis&#x00F5;es espec&#x00ED;ficas, como por exemplo a pr&#x00F3;pria din&#x00E2;mica decis&#x00F3;ria end&#x00F3;gena dos Tribunais, fonte exclusiva de auto empoderamento.</p>
				<p>O momento atual de crise pol&#x00ED;tica e os olhares cada vez mais atentos &#x00E0;s decis&#x00F5;es dos ministros de nossa suprema corte, corroboram a trajet&#x00F3;ria crescente de empoderamento institucional, que autoriza o tribunal a decidir peremptoriamente, n&#x00E3;o apenas dentro do processo de elabora&#x00E7;&#x00E3;o de pol&#x00ED;ticas p&#x00FA;blicas, mas tamb&#x00E9;m sobre a pr&#x00F3;pria defini&#x00E7;&#x00E3;o do governo e da liberdade de seus membros envolvidos em esc&#x00E2;ndalos. Os impasses pelos quais passa o pa&#x00ED;s recentemente aumentam a demanda por decis&#x00F5;es do Supremo Tribunal Federal. Logo, a sa&#x00ED;da que se tem buscado para driblar (
					<italic>by-pass</italic>) os problemas da fragmenta&#x00E7;&#x00E3;o partid&#x00E1;ria e incertezas pol&#x00ED;ticas &#x00E9; pela via judicial, como uma esp&#x00E9;cie de ap&#x00F3;lice de seguro. E tudo isso ocorreu com o apoio, a anu&#x00EA;ncia e o sil&#x00EA;ncio dos incumbentes.
				</p>
			</sec>
		</body>
		<back>
			<fn-group>
				<fn fn-type="other" id="fn22">
					<label>1</label>
					<p>Essa pesquisa teve apoio de fomento do Conselho Nacional de Desenvolvimento Cient&#x00ED;fico e Tecnol&#x00F3;gico &#x2013; CNPq, e da Coordena&#x00E7;&#x00E3;o de Aperfei&#x00E7;oamento de Pessoal de N&#x00ED;vel Superior &#x2013; CAPES. Agradecemos aos coment&#x00E1;rios e sugest&#x00F5;es dos pareceristas an&#x00F4;nimos da 
						<italic>Revista Sociologia e Pol&#x00ED;tica</italic>.
					</p>
				</fn>
				<fn fn-type="other" id="fn23">
					<label>2</label>
					<p>
						<italic>Vide</italic> a exemplar decis&#x00E3;o da referida Corte no caso Marbury 
						<italic>versus</italic> Madison.
					</p>
				</fn>
				<fn fn-type="other" id="fn24">
					<label>3</label>
					<p>S&#x00E3;o in&#x00FA;meros os trabalhos que demonstram essa assertiva, destacar&#x00ED;amos os de 
						<xref ref-type="bibr" rid="B37">Sweet (2000)</xref>, 
						<xref ref-type="bibr" rid="B12">David (2002)</xref> e 
						<xref ref-type="bibr" rid="B31">Maravall &#x0026; Przeworski (2003)</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn25">
					<label>4</label>
					<p>O antigo Supremo Tribunal de Justi&#x00E7;a, da &#x00E9;poca imperial do Brasil foi renomeado Supremo Tribunal Federal com a constitui&#x00E7;&#x00E3;o provis&#x00F3;ria, atrav&#x00E9;s do Decreto 510, de 22 de junho de 1890. Para uma vis&#x00E3;o das diferen&#x00E7;as e fus&#x00E3;o dos modelos ver 
						<xref ref-type="bibr" rid="B5">Carvalho (2007)</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn26">
					<label>5</label>
					<p>A t&#x00ED;tulo de ilustra&#x00E7;&#x00E3;o sugerimos a leitura de Barbosa (2015) onde se trata da institucionaliza&#x00E7;&#x00E3;o do controle de constitucionalidade no sistema brasileiro.</p>
				</fn>
				<fn fn-type="other" id="fn27">
					<label>6</label>
					<p>Para mais detalhes ver 
						<xref ref-type="bibr" rid="B35">Rae (1971)</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn28">
					<label>7</label>
					<p>Destacamos as duas mais importantes: Caso 
						<italic>Marbury vs. Madison</italic> em 1803 e Caso 
						<italic>Lochner vs. State of New York</italic> em 1905.
					</p>
				</fn>
				<fn fn-type="other" id="fn29">
					<label>8</label>
					<p>O debate encontra-se em 
						<xref ref-type="bibr" rid="B23">Herrera 1994</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn30">
					<label>9</label>
					<p>Para mais sobre o princ&#x00ED;pio da Soberania do Parlamento, ver 
						<xref ref-type="bibr" rid="B27">Koopmans (2003)</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn31">
					<label>10</label>
					<p>Para mais detalhes, ver Barbosa (2015, pp. 63-98).</p>
				</fn>
				<fn fn-type="other" id="fn32">
					<label>11</label>
					<p>Esse indicador ser&#x00E1; melhor detalhado adiante, na se&#x00E7;&#x00E3;o de metodologia.</p>
				</fn>
				<fn fn-type="other" id="fn33">
					<label>12</label>
					<p>Madison insisted that the spirit of faction can be dangerous to liberty and therefore, ultimately, to democracy. He also recognized, however, that in a republic, factions and parties, which serve to further both public and private interests, cannot be abolished without undermining republican government itself. At best, the politics of faction and party can be regulated or managed to limit the likely abuses. The most satisfactory form of regulation relies on the electoral process to correct political pathology. Of course, if democratic self-regulation fails, there are court-enforced constitutional safeguards that may be employed to limit abusive lawmaking.</p>
				</fn>
				<fn fn-type="other" id="fn34">
					<label>13</label>
					<p>Para o iSTF, Barbosa 2015 optou por n&#x00E3;o estabelecer uma escala, mas manter um padr&#x00E3;o de contagem, principalmente em fun&#x00E7;&#x00E3;o dos modelos lineares generalizados, sendo a escala mais apropriada para o modelo binomial negativo, como mostrado por Nelder &#x0026; Wedderburn (1972).</p>
				</fn>
				<fn fn-type="other" id="fn35">
					<label>14</label>
					<p>Esses autores com capacidade processual ativa est&#x00E3;o elencados no art. 103 da Constitui&#x00E7;&#x00E3;o Federal do Brasil, e s&#x00E3;o eles: I - o Presidente da Rep&#x00FA;blica; II - a Mesa do Senado Federal; III - a Mesa da C&#x00E2;mara dos Deputados; IV a Mesa de Assembleia Legislativa ou da C&#x00E2;mara Legislativa do Distrito Federal;V o Governador de Estado ou do Distrito Federal;VI - o Procurador-Geral da Rep&#x00FA;blica; VII - o Conselho Federal da Ordem dos Advogados do Brasil; VIII - partido pol&#x00ED;tico com representa&#x00E7;&#x00E3;o no Congresso Nacional; IX - confedera&#x00E7;&#x00E3;o sindical ou entidade de classe de &#x00E2;mbito nacional.</p>
				</fn>
				<fn fn-type="other" id="fn36">
					<label>15</label>
					<p>Aqui s&#x00E3;o contabilizadas todas as autoridades que podem ser julgadas pelo STF, como consta na Constitui&#x00E7;&#x00E3;o Federal do Brasil.</p>
				</fn>
				<fn fn-type="other" id="fn37">
					<label>16</label>
					<p>If one party controls 75 percent of the seats, the minimum number of parties to pass constitutional changes will be one, whether under absolute or qualified majority. If, however, the constituent body is composed of five parties sharing, say, 49, 16, 13, 12 and 10 percent of the seats, the minimum number of parties required to pass constitutional changes is either two or three depending on whether the decision rule is absolute or two-thirds.</p>
				</fn>
				<fn fn-type="other" id="fn38">
					<label>17</label>
					<p>O poder institucional aqui &#x00E9; entendido como Barbosa (2015) prop&#x00F4;s, ou seja, &#x00E9; um poder descrito nas regras do jogo (precisamente a Constitui&#x00E7;&#x00E3;o), n&#x00E3;o se trata de um poder utilizado (cujas vari&#x00E1;veis n&#x00E3;o seriam institucionais, mas decisionais, analisando as decis&#x00F5;es da corte). Mais especificamente &#x00E9; um poder 
						<italic>de jure</italic>, ou seja, de poder agir. E o poder de agir interfere no c&#x00E1;lculo que os atores legislativos fazem ao tomar decis&#x00F5;es, dentro do processo decis&#x00F3;rio.
					</p>
				</fn>
				<fn fn-type="other" id="fn39">
					<label>18</label>
					<p>Para uma explica&#x00E7;&#x00E3;o mais detalhada ver Linzer &#x0026; Staton (2015, p. 225).</p>
				</fn>
				<fn fn-type="other" id="fn40">
					<label>19</label>
					<p>Para uma explica&#x00E7;&#x00E3;o mais ampliada, ver 
						<xref ref-type="bibr" rid="B8">Coppedge 
							<italic>et. al.</italic> (2017b
						</xref>, p. 49), e 
						<xref ref-type="bibr" rid="B39">Teorell 
							<italic>et. al.</italic> (2016)
						</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn41">
					<label>20</label>
					<p>Para ver mais sobre a t&#x00E9;cnica de termos interativos ver 
						<xref ref-type="bibr" rid="B4">Brambor 
							<italic>et. al.</italic> (2006)
						</xref>.
					</p>
				</fn>
				<fn fn-type="other" id="fn42">
					<p>A produ&#x00E7;&#x00E3;o desse manuscrito foi viabilizada atrav&#x00E9;s do patroc&#x00ED;nio fornecido pelo Centro Universit&#x00E1;rio Internacional Uninter &#x00E0; 
						<italic>Revista de Sociologia e Pol&#x00ED;tica</italic>.
					</p>
				</fn>
			</fn-group>
		</back>
	</sub-article-->
</article>