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Redistricting and Party Loyalty in the State Supreme Courts

Published online by Cambridge University Press:  26 February 2025

Teena Wilhelm*
Affiliation:
University of Georgia, Athens, GA, USA
Garrett VandeKamp
Affiliation:
University of Georgia, Athens, GA, USA
Austin Petrie
Affiliation:
University of South Carolina, Columbia, SC USA
Karson Pennington Ray
Affiliation:
University of Georgia, Athens, GA, USA
*
Corresponding author: Teena Wilhelm; Email: twilhelm@uga.edu
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Abstract

In this research, we examine redistricting plan review by state supreme courts to determine what factors influence party-aligned voting in judicial decisions. We analyze whether judicial selection systems matter, as well as the ideological extremism of judges. Our judge-level data includes votes on redistricting cases heard across the American states from 1961 to 2022. We find that judges who are ideologically extreme are more likely to cast party-aligned votes, but only when selected by appointment with life tenure or by partisan elections.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of the Law and Courts Organized Section of the American Political Science Association

In cases that offer measurable benefit to political parties, what factors impact whether judges will vote in alignment with their party? This line of inquiry has historically focused on the federal courts (Cox and Katz Reference Cox and Katz2002; McKenzie Reference McKenzie2012) on cases with electoral consequences, specifically redistricting decisions. Consequently, the extent to which state supreme court judges will vote to support their party, and what makes such a decision more or less likely is not yet known. It is undoubtedly an important question.

That judges will side with their own party in redistricting cases is a common assumption, at least for political parties that bet on loyal judges. It is an assumption that helps explain costly efforts to “flip” seats on state supreme courts to alter the partisan balance of judges on these courts, especially when a single seat can have direct and meaningful consequences for statewide politics. Consider the 2023 Wisconsin supreme court election – the most expensive judicial race in US history – in which challenger Janet Protasciewicz defeated conservative incumbent Dan Kelly to create the first liberal majority on the state’s high court in 15 years. Upon taking her position, Protasciewicz joined liberal colleagues to declare the state’s Republican-drawn legislative maps unconstitutional, altering the balance of political power in the state for the first time in a decade. Of course, this assumption also explains why a judge who votes contrary to this expectation may attract considerable attention. When Ohio Chief Justice Maureen O’Connor (a Republican) voted against Republican-favored maps in that state in 2022, there were immediate calls for impeachment by state Republican leaders.Footnote 1

Research on state supreme court redistricting votes is both intuitive and timely, given that contemporary US Supreme Court action has re-specified the significance of state court jurisdiction in the redistricting process. Research in state judiciaries also offers the comparison of institutional variation. Judges on state high courts can be appointed like federal jurists, but they can also be elected in partisan and nonpartisan contests. While a few have the political insulation of life tenure, most keep their jobs through some electoral mechanism. Given this, state supreme courts offer a unique setting that can help us understand how institutional rules shape political outcomes.

For these reasons, we examine redistricting plan review in the state supreme courts. Specifically, we analyze how state constitutional protections, individual ideological proclivities, and institutional rules impact the degree to which a judge will demonstrate party loyalty in these decisions. Our judge-level data includes votes on redistricting cases heard across the American states from 1961 to 2022. Out results indicate that ideological extremism is associated with a greater likelihood of party-aligned voting, but only for judges that are appointed or elected through partisan elections. While we find no differences between Republican and Democratic judges, we do find that judges are more likely to support their party when they are a member of the majority party.

The partisan stakes of state supreme court redistricting

At the risk of sounding colloquial, motivation for this research comes directly from political headlines.Footnote 2 While state supreme court involvement in redistricting is not a recent phenomenon, the jurisdictional importance of these courts has significantly increased over time. This heightened role for state supreme courts in political reapportionment is best explained by the confluence of several factors.

The first pertinent factor comes from action taken by the US Supreme Court in Rucho v. Common Cause 588 U.S. ___ (2019), which effectively removed federal court jurisdiction over partisan gerrymander claims, citing them as nonjusticiable political questions. Chief Justice Robert’s majority opinion suggested that state courts (or state legislative action) constituted a more appropriate redress for such grievances. The court’s decision was immediately perceived as consequential by partisan litigants. Eric Holder, former Attorney General and chair of the National Democratic Redistricting Committee (NDRC) gave remarks to the press soon after: “We’ll be fighting in the states to ensure that we have a fair redistricting process. We will use the state courts where we are no longer able to use the federal courts.”Footnote 3 Jason Torchinsky, general counsel for the National Republican Redistricting Trust (NRRT) also provided commentary: “That opens a Pandora’s box at the state level. State judiciaries are going to have to wrestle with the same questions” that the Supreme Court just did.Footnote 4

The reaction by Holder and Torchinsky was prescient, as over half of all redistricting challenges since the Rucho decision have been filed in state courts (16 of 29).Footnote 5 Further, of the 55 total map disputes in the 2020 redistricting cycle, 30 were processed in the state courts, and more than half of those (18) were partisan gerrymander claims.Footnote 6 Of course, litigants continue to challenge redistricting maps in federal courts, particularly when a claim involves potential Voting Rights Act violations. However, the significance of the Rucho decision is that redistricting resolution is more directly focused on state judiciaries.

Beyond Rucho, factors related to the states themselves have also been significant. Specifically, some state constitutional provisions offer protection for claimants not found in the US Constitution. Over half of all state constitutions (29) have a requirement that elections be “free,” and a subset of these (18) further specifies that elections be both free and “open” or “equal.” Beyond this, some states provide redistricting commissions with specific criteria using “free elections” language.Footnote 7 If litigants in states with constitutional “free” election language argue that maps which advantage one party over another result in inherently unequal elections, these provisions create a viable legal pathway for challenges in state judiciaries that does not exist in the federal courts.

A final factor is the success of a state-court strategy for litigants, particularly for challengers from the Democratic Party. The tactic has proven so successful that Republican strategists describe redistricting litigation as the cornerstone of “sue until blue” politics.Footnote 8 While Democratic redistricting legal victories occurred prior to the Rucho decision, they were more headline-worthy in the 2020 redistricting cycle.Footnote 9 By early 2023, high-profile judicial actions in Ohio, Pennsylvania, North Carolina, Wisconsin, and Virginia supported electoral maps more favorable to Democrats, with pending cases in other states.Footnote 10

The high-stakes nature of state supreme court redistricting is underscored by journalistic emphasis. In 2022, CNN’s coverage of the North Carolina Supreme Court decision in Moore v. Harper declared the courtroom a place “where redistricting has become a blood sport as intense as the Duke vs. UNC basketball rivalry.”Footnote 11 Clever journalism aside, redistricting influences “who wins elections, who is at the table when laws are considered, and what laws are passed.”Footnote 12 Decisions in the state judiciaries can ultimately dictate the balance of political power across the United States, and thus the partisan stakes of state supreme court redistricting decisions are sizeable.

State court involvement in the redistricting process

Redistricting authority in each state is designated by state law. Most states assign this role primarily or fully to the state legislature. In roughly half of all states, “commissions” may also participate in the redistricting process with varying degrees of authority. Even in states with commission structures in place, state legislatures continue to have input and influence on the redistricting process. Redistricting plans are like other state laws in that once maps are created, they can generally be subject to gubernatorial veto. Similarly, redistricting plans or processes can also be subject to legal challenge in a judicial forum.Footnote 13

There are several ways that state courts may be involved in the redistricting process. Some states have a prescribed role for judges to either select members of commissions or serve on commissions (Levitt and Wood Reference Levitt and Wood2010). Courts may also be asked directly to draw district lines. District line-drawing by state courts can be prompted when legislatures reach an impasse over maps, or when timely revisions are needed on commission plans. Courts may also draw district lines when their own decisions have upheld challenges to redistricting maps, and upcoming elections necessitate immediate action. In the 2000 and 2010 redistricting cycles, state legislative district lines were drawn by courts in 11 states, and congressional lines in nine states (Levitt and Wood Reference Levitt and Wood2010).

While such direct involvement by courts in redistricting is impactful, it is uncommon. Thus, the primary role that state courts have in the redistricting process occurs once litigants challenge the legality of the map-drawing process, or the district maps themselves. Such litigation is common, and state supreme court review of redistricting plans is either automatic or triggered by citizen request in nearly half of all states (Levitt and Wood Reference Levitt and Wood2010). In these cases, judges review redistricting plans that are crafted or influenced by state political majorities, and their decisions reflect a judge’s support (or not) of those political majorities.

Party loyalty and judicial behavior: Theory and evidence

Given that the primary role of state supreme courts in redistricting is voting in cases that involve challenges to redistricting plans or processes, this research seeks to understand how party loyalty may be expressed in these votes. Political scientists understand party loyalty most directly from observations of American voting behavior (Campbell et al. Reference Campbell, Converse, Miller and Stokes1960; Miller Reference Miller1991; Miller and Shanks Reference Miller and Shanks1996), but also from observations of the legislative and executive branches of government (i.e., Erikson, Mackuen, and Stimson Reference Erikson, Mackuen and Stimson2002). For “single-minded seekers of reelection,” party loyalty can translate into electoral advantage (Cox and McCubbins Reference Cox and McCubbins2005, Reference Cox and McCubbins2007), although excessive partisanship can also create electoral liability, particularly on divisive votes (see Carson et al. Reference Carson, Koger, Lebo and Young2010). Party loyalty can also determine institutional advancement for members of Congress, and consequently their legislative success (Coker and Crain Reference Coker and Crain1994). Party loyalty is easily understood as motivation for those that serve in the “political” branches of government, but less so for judges who are historically perceived as neutral arbiters of the law. In the traditional adage, judges are legal-minded rather than electoral- or policy-minded.

Political scientists who study courts counter this traditional framework, claiming that it ignores both theoretical and real-world analysis of judicial decision-making. While judicial actors are influenced by legal considerations, scholars find that judges are also motivated by political preferences (or attitudes) and long-term strategy. Attitudinal motivation refers to judicial choice that incorporates sincere policy preferences with less regard for anything else, including the law (Segal and Spaeth Reference Segal and Spaeth1993, Reference Segal and Spaeth2002). Strategic motivation prioritizes long-term over immediate goals and incorporates a judge’s policy preferences alongside the actions of other relevant actors (e.g., Epstein and Knight Reference Epstein and Knight1998). Such long-term goals include policy preferences, but also include features like prestige, job satisfaction, and career advancement (Epstein and Knight Reference Epstein and Jack2013).

How do considerations of party factor into conventional models of judicial choice? A judge’s partisanship is most obviously not a legal consideration. Instead, partisan loyalty can be explained from both an attitudinal frame and a strategic frame. From an attitudinal perspective, Peterson (Reference Peterson2019) explains that party loyalty may result from a judge’s efforts to advance their policy preferences, given that a judge’s policy preferences are more likely to be represented by their co-partisans in the legislature. In contrast, a strategically motivated judge would support their party in order to further their own political ambitions or long-term career goals. A “win” for a judge’s party may increase the likelihood of some future career milestone.

In terms of evidence, research mostly supports the idea that party loyalty impacts judicial voting. Most analyses that specifically focus on redistricting litigation examine the federal courts. In a study on US District Court redistricting decisions, Lloyd (Reference Lloyd1995) found that judges of both parties were more likely to strike down redistricting plans crafted by a legislature that they did not share partisanship. Cox and Katz (Reference Cox and Katz2002) similarly found that “friendly” courts were more likely to uphold redistricting plans than “hostile” ones. Peterson (Reference Peterson2019) also found “sophisticated partisan calculations” in redistricting decisions, which tend to favor the electoral interests of a judge’s own party. Alternatively, McKenzie (Reference McKenzie2012) did not find a general effect of partisanship on redistricting decisions, but did find a “constrained” partisanship effect in that judges are more likely to strike down plans crafted by an opposition legislature when the plan is challenged under the Voting Rights Act.Footnote 14

While there is no analysis of redistricting decisions in state judiciaries, other election-law analyses yield mixed results.Footnote 15 Whereas Graves (Reference Graves2003) found evidence of partisan voting in ballot access cases, Kopko (Reference Kopko2008) did not. Kang and Shepherd’s (Reference Kang and Shepherd2011, Reference Kang and Shepherd2016) analysis of election dispute cases showed that partisanship influences judicial voting in significant and measurable ways, but their more recent work (Reference Kang and Shepherd2017) shows that legal issues matter as much if not more than party loyalty.

Factors that influence party-aligned voting

In this research, we are interested in factors that influence the likelihood that a judge will cast a party-aligned vote on redistricting litigation in state supreme courts. How much legal protection is built into the redistricting process varies among the states. States also vary in the institutional design of state judiciaries. Finally, judges also vary as individuals. In this section, we describe how variations in laws, individuals, and systems may impact the likelihood of party-aligned voting in redistricting cases.

Laws

As stated earlier, legal factors impact judicial decisions. Prior research suggests that redistricting law constrains redistricting decisions, at least when precedent is clear. In other words, if legal guidelines provide clear directives, judges should be less inclined to vote based on party loyalty. Meanwhile, ambiguous precedent creates an alternative voting “opportunity.” McKenzie offers that “motivated by either strategic or psychological forces, judges are more likely to favor their own party in redistricting when a lack of clarity… provides them with that window of opportunity” (2012, 802).

McKenzie’s (Reference McKenzie2012) analysis in the federal court system considers legal factors such as the type of legal challenge involved in a redistricting case (partisan gerrymandering, racial gerrymandering, or Voting Rights Act violation) as well as the type of redistricting plan under review (Congress, legislative, or both). These categories provide some legal direction in federal review, but arguably provide little evidence of clear legal precedent in the state court context, at least when considered alone. For this reason, it is instructive to consider state laws that prescriptively addresses these issues.

As discussed, some state constitutions include “free elections” language under which litigants challenge redistricting plans. These provisions provide additional legal criteria for judges in these states to consider on litigation involving elections and, in some states, the district map itself. Thus, there is additional legal guidance for judges in these states. Alternatively, state constitutions that do not include such language leave more room for ambiguity, as judges without constitutional directives have no additional legal criteria to consider in assessing redistricting plan conditions or outcomes. Given this, we control for state constitutions that contain “free elections” provisions in our analysis. We consider these provisions to be a legal constraint on judicial behavior, which leads to a general expectation:

H1: In redistricting cases, a judge will be more constrained when casting a party-aligned vote in states with constitutional “free elections” provisions than in those without.

Individuals

While partisanship and ideology are not directly interchangeable concepts, there is some obvious overlap in modern American politics. In research on the American judiciary, party identification was used as proxy for judicial ideology for many years. Further, evidence of partisan voting was interpreted as evidence to support the attitudinal model of judicial choice. As scholarly measures of judicial ideology have become more refined over time, scholars have recognized that ideology can factor into partisan behavior. Lloyd (Reference Lloyd1995) found that Republicans judges were generally more deferential to the creators of redistricting plans than Democratic judges, regardless of the partisan origin of the plan. Similarly, McKenzie (Reference McKenzie2012) found that conservative judges were generally more likely to uphold redistricting plans in Voting Rights Act challenges.Footnote 16

Judicial ideology can provide useful information for the likelihood that a judge will vote to support party, but not simply as a proxy for partisanship. Rather, the intensity that a judge holds their ideological preferences may be more useful information. In terms of party support, a party win almost certainly guarantees some advancement of policy goals for an ideological extremist. However, the same may not always be true for a moderate. A party win may well inhibit ideological goals for a moderate if government policy is already near a judge’s ideal point. At minimum, the propensity for party-aligned voting between ideological extremists and moderates may not be equivalent. Given this, we have the following general expectation:

H2: In redistricting cases, an ideologically extreme judge is more likely to cast a party-aligned vote than a moderate judge.

Institutions

While the individual proclivities of judges will certainly influence the likelihood of party-aligned voting, it is important to consider the institutional arrangements within which state supreme court justices operate. The institutional design that structures how state supreme court justices are selected includes systems of elite appointment with lifetime tenure, merit selection with retention elections, partisan election, and nonpartisan election. While these institutional rules for selection may not directly motivate judicial behavior, they may condition it. In other words, judges in some systems may feel more constrained in choosing to vote with their party than in others. For this reason, we posit that institutional rules interact with other factors that motivate judicial behavior. Here we explore the interaction of judicial selection rules and ideological extremism.

On the federal courts, appointment with life tenure insulates judges from the political repercussions for their decisions that could result in job loss. The institutional design of these courts empowers judges to pursue their policy preferences through their decisions. More importantly, the protection offered by life tenure exacerbates the tendency for ideologically extreme judges to cast party-aligned votes. Of course, lifetime appointments are a rare institutional design for state supreme courts that exists in only a handful of states. Instead, most state court judges are accountable to an electorate for job retention.

If research suggests that lifetime appointment relaxes institutional constraints on judicial behavior, it suggests that accountability mechanisms constrain it. Specifically, elected judges may alter their behavior to ensure reelection. Hall’s (Reference Hall1987, Reference Hall1992) research showed that elected judges were more likely to alter voting behavior near the end of their terms. Similarly, Huber and Gordon (Reference Huber and Gordon2004) found that elected judges imposed longer sentences as their reelection neared.

Retention mechanisms for judges vary across the states, and consequently reelection rates substantially differ across different systems. Judges subject to nonpartisan elections are reelected at much higher rates than those subject to partisan elections (Bonneau and Cann Reference Bonneau and Cann2015). The information difference between the two helps to explain this, as voters tend to reelect incumbents in nonpartisan, low information environments, but cast votes based on partisan identities in higher information environments (Squire and Smith Reference Squire and Smith1988). The party-vote share of judicial candidates in partisan elections closely mirrors the party-vote share in presidential elections (Lim and Snyder Reference Lim and Snyder2015).

While reelection rates generally differ between nonpartisan and partisan judicial elections, an exception can be found when races receive substantial media coverage. In these races, partisan voting patterns appear even in nonpartisan judicial races (Rock and Baum Reference Rock and Baum2010), driven by partisan information that is communicated to voters (Bonneau and Cann Reference Bonneau and Cann2015). Given this, judges subject to nonpartisan reelection have an incentive to minimize the amount of partisan information communicated through coverage of their decisions, particularly in high-profile cases. Because the salience of redistricting decisions is high, media coverage of redistricting cases is inevitable.

Based on what we know about retention politics and the high-profile nature of redistricting cases, it is reasonable to anticipate that judges in partisan election systems will behave like judges who have lifetime tenure: the more ideologically extreme they are, the more likely they are to cast a party-aligned ballot. For judges subject to nonpartisan and merit retention elections, revealing ideology or partisanship in high-profile cases might be problematic for reelection. Therefore, these judges may have less incentive to use ideology when casting a party-aligned vote. Given this, our expectation is:

H3: The influence of ideological extremism on voting in redistricting cases is conditioned by a state’s judicial selection method. The impact of ideological extremism should be more evident in appointment systems and partisan election systems, and less evident in nonpartisan election and retention election systems.

Control factors

The degree to which a judge votes with their party on redistricting cases may be influenced in other ways, which we consider as controls. One factor is whether the judge belongs to the majority in power. Judges from the majority party might be more concerned with the expectations of party leadership. They may also give greater weight to how their vote will be perceived by the broader public and may believe that ruling in line with their party can ensure support for future career advancement. It stands to reason that minority party judges, with similar logic, may exercise greater caution in ruling against the majority.

Another consideration is a judge’s partisan identity. While Republicans and Democrats likely have equal desire to see their party’s interests advanced in redistricting cases, there have been observable differences in partisan attitudes about redistricting over time. Republicans have placed more emphasis on state legislative influence, while Democrats have focused more on federal elections. Republicans have generally been more resistant to redistricting reform, while Democrats have increasingly supported independent commissions and other reforms. Finally, Republicans have generally been more effective (overall) at using redistricting to gain a political advantage than Democrats. While these differences may not directly influence party-aligned voting, it is nonetheless true that the redistricting issue itself may be conditioned through a partisan lens.

A final factor is the nature of the redistricting challenge. Specifically, it is important to consider whether redistricting issue being litigated is a partisan gerrymander challenge.Footnote 17 One of the main challenges in partisan gerrymandering cases is the absence of a clear, objective standard for determining when district boundaries are drawn unfairly for partisan advantage. While statistical tools exist to identify such gerrymandering, courts and legislatures have not universally agreed on how to use these metrics to identify gerrymandering. In the absence of a clear standard, such cases might open the door for an increased influence of partisanship on judicial votes.

Party-aligned voting in redistricting litigation

To understand party loyalty in redistricting decisions, we construct a model that predicts the likelihood of party-aligned voting. Our data include 1,412 state supreme court redistricting votes. These votes were cast by 757 judges in 220 redistricting cases heard from 1961 to 2022, roughly 30 cases each decade. Our dependent variable measures whether a judge voted with party in a redistricting decision. To determine whether a vote is party aligned, we obtained each judge’s party identification from data collected by Brace, Langer, and Hall (Reference Brace, Langer and Hall2000) supplemented with data from state judicial websites, judicial biographies, media searches, and Ballotpedia.Footnote 18 We identified 406 Democrats, 337 Republicans, and 14 judges of non-identifiable partisanship. The party of the legislature that proposed a redistricting plan was obtained from historical partisan composition timeline records published by the National Conference of State Legislatures (NCSL). We identified 93 plans created by Democratic majorities, 94 plans by Republican majorities, and 33 plans created under divided government.Footnote 19

Data from these two variables are summarized in Table 1. We define a party-aligned vote as one in which a judge votes to uphold a plan proposed by a unified legislature under the control of copartisans or votes to strike a plan proposed by a unified legislature under the control of non-copartisans. Our dependent variable is a binary variable that equals a 1 when a judge’s vote meets either of those two criteria, and 0 otherwise.Footnote 20 In votes cast in which all necessary information is available, about 55% of votes demonstrate partisan alignment. This statistic is similar for both Democrat and Republican judges, varying by a single percentage point at most.

Table 1. Number of Votes Cast in Redistricting Cases in State Supreme Courts, 1960–2022

In terms of independent variables, our theoretical discussion motivates legal, individual, and institutional factors that may influence the likelihood that a judge’s vote will reflect party-alignment. To operationalize our legal factor of interest, we include a dichotomous variable to indicate whether a state constitution contains a provision that guarantees “free elections.” For our individual factor, we include a state supreme court judge’s ideological extremism relative to colleagues. To calculate this measure, we utilize PAJID data from Brace, Langer, and Hall (Reference Brace, Langer and Hall2000), updated by Hughes, Wilhelm, and Xuan (Reference Hughes, Wilhelm and Wang2023).Footnote 21 A judge’s ideological extremity is calculated by mean-centering PAJID scores and then taking the absolute value. This results in a continuous variable in which higher values indicate a judge is more ideologically extreme. Roughly 10% of judges in our sample have a score that measures at least one standard deviation above the mean, and thus might be considered “ideologues”.Footnote 22

Finally, our model includes an institutional indicator for a state judicial selection method. This categorical variable (transformed into a series of dummy variables for our analysis) indicates whether judges were selected by partisan election, nonpartisan election, merit selection, or appointment (the omitted category).Footnote 23 Given our conditional expectation for this variable, we include interactions between ideological extremism and judicial selection method.

Several control variables are included in our model. These include indicators for majority party judges (approximately 60% of judges in our data), Republican judges (approximately 44% of judges in our data), and partisan gerrymandering claims (around 13% of cases). Summary statistics for all variables are presented in Table 2.

Table 2. Means of Model Variables

We control for the possibility of period effects in redistricting decisions by including fixed effects for each redistricting cycle. We also include random effects for each state and cluster our standard errors by state to control for autocorrelation within each case. To identify the causal relationships at interest, we use a selection-on-observables design that features logistic regression to control for confounders.Footnote 24

Results

The results of our model that estimates the likelihood that a judge will vote with party are displayed in Table 3. The expected proportion of correct predictions is 0.57; if the model estimates were used to predict the outcome of future redistricting votes, we would expect the model to correctly classify 57% of the new observations (Herron Reference Herron2000). This represents a 14% reduction in the classification error that would result if we relied on a naïve probability model to predict outcomes instead. Thus, the model explains a notable amount of variation in the data, though there is certainly noise remaining in the dataset.

Table 3. Predicting a Party-Aligned Vote, 1961–2022

Note: Omits random effects estimates by state.

* p < 0.05, ** p < 0.01, *** p < 0.001, two-tailed test

The coefficient for the “Free and Fair” elections variable is not statistically significant. Therefore, we find no evidence supporting Hypothesis 1. The coefficient for the judicial extremism variable, however, is statistically significant. The interaction term between judicial extremism and merit selection systems is also statistically significant; in addition, the interaction term between judicial extremism and nonpartisan election systems just misses statistical significance with a p-value of 0.069. With these results, we find support for Hypothesis 3.

Due to the difficulty of interpreting both logit models and interaction terms, we use the estimates in Table 3 to calculate the average discrete effect of ideological extremity for judges that are appointed (omitted), selected via merit, elected through partisan elections, and elected through nonpartisan elections.Footnote 25 The results are displayed in Table 4. For judges that are appointed and elected through partisan elections, there is a positive and statistically significant relationship between ideological extremity and party-aligned voting. A one standard deviation increase in the ideological extremity of an appointed judge – equivalent to a 10-unit increase in that variable – is associated with an eight percentage point increase in the expected probability of a partisan vote. For judges selected via partisan elections, the likelihood of party-aligned voting increases by 12 percentage points.

Table 4. Average Discrete Effect of Ideological Extremity on the Probability of a Party-Aligned Vote by Selection System

Note: Results are calculated using the estimates in Table 3 and observed data values.

* p < 0.05, ** p < 0.01, *** p < 0.001

These results can be graphically displayed in a predicted probability plot, shown in Figure 1. When ideological extremity is equal to 10 – which is, incidentally, the 10th percentile of that variable – the predicted probability that an appointed judge casts a party-aligned vote is 38%. When ideological extremity is bumped to 40 – the 90th percentile of the data – the predicted probability jumps to 60%. A similar story can be told for partisan-elected judges: the probability a moderate judge casts a party-aligned vote is 32%, while for ideologically extreme judges it is 69%. For judges selected through merit systems and for judges elected through nonpartisan elections, the relationship is negative but not statistically significant; as such, they are left out of Figure 1.

Figure 1. Probability of a Party–Aligned Vote, by Ideology and Selection System

These results largely confirm the expectation that ideological extremism motives party-aligned voting, as conditioned by institutional rules. As expected, ideologically extreme judges in appointment systems are more likely to cast party-aligned votes than moderate judges in those systems. Perhaps not as expected is the same significant propensity for judges selected in partisan elections. While electoral accountability offers a theoretical constraint on the expression of judicial preferences in voting behavior, it may be that redistricting offers a specific legal scenario whereby party-aligned voting is encouraged (perhaps even expected) for judges who are more ideologically inclined to support party.

In terms of other results, the coefficient for a judge whose party matches the legislature that created the redistricting plan (majority judge) is positive and statistically significant. On average, a judge whose party controls the state legislature is 30% more likely to vote in a partisan matter relative to judges whose party does not control the legislature. The coefficients for other variables are not significant, and fixed effects for redistricting cycles are also not significant.Footnote 26

Conclusion

In this research, we find that party-aligned voting in redistricting decisions is more likely to occur when judges are ideologically extreme than when they are moderate. This finding is consistent with attitudinal models of judicial decision-making, and probably not very surprising. A novel finding of this research is that this relationship is moderated by the institutional design of the state court system. Specifically, ideological extremism is associated with party-aligned voting in systems where judges are selected in partisan elections or appointed with life tenure. The relationship disappears when judges are elected via nonpartisan elections or selected by merit. A possible conclusion from this finding is that judicial selection mechanisms can encourage or discourage partisan behavior by judges. Moreover, changes to judicial selection may influence the degree of party-aligned voting in redistricting decisions.

Our research also suggests that majority party judges are more likely to cast partisan votes than judges in the minority. Obviously, judges who are in the majority want to stay in the majority. Meanwhile, it does not appear that judges are constrained by provisions in state constitutions that mandate “free” elections. While states that have such constitutional provisions provide a legal pathway for litigants to challenge redistricting plans, they do not provide a consistent legal answer for judges who review these claims.

The findings of this research give empirical credence to an assumption about judicial behavior that shapes contemporary redistricting strategy for both Democrat and Republican parties. This strategy has entered the next phase: judicial recruitment. Adam Kincaid, executive director of the NRRT, observed in a 2019 interview after the Rucho decision, “The next phase of redistricting is going to be about groups doubling down on their attempts to flip state courts.”Footnote 27 Two years later, he reflected on events that included a successful “court flip” by Democrats in Pennsylvania: “I think a lot of people started to view the state supreme courts as partisan actors in redistricting after that point.”Footnote 28 Of course, elected state supreme courts are not the only strategic targets, as appointed courts may be just as susceptible to court flipping attempts (albeit with potentially fewer constraints).

Unequivocally, the significance of state supreme courts in redistricting is not lost on either the right or left. Further, it is logical for parties to include state judiciaries in their strategies, as our research demonstrates that party organizations can benefit from courts staffed by judges that are more “friendly” to their redistricting efforts. In the future, we look forward to inquiry that investigates the success of partisan attempts to influence redistricting outcomes via judicial recruitment efforts on these courts.

Data availability statement

All replication materials are available on the Journal of Law and Court’s Dataverse archive.

Footnotes

5 In comparison, state court challenges in the 2010 redistricting cycle came from nineteen of 37 states, according to data published by Ballotpedia. See https://ballotpedia.org/Redistricting_lawsuits_relating_to_the_2010_Census#cite_note-327 for state-by-state descriptions.

7 See https://www.ncsl.org/redistricting-and-census/free-and-equal-election-clauses-in-state-constitutions for the summary of state constitutional language. Notably, we do not include Alabama among states with “free” election language in the state constitution, while NCSL does. California, Washington, Montana, Idaho, Arizona, Colorado, Virginia, and Florida all provide “fair elections” or “fair districts” language in their constitutions for the drawing of district maps.

8 To be fair, “sue until blue” is the language used by organizations such as the Republican State Leadership Committee and is not an articulated Democratic platform of activity. See, for example, https://www.politico.com/news/2021/12/13/political-maps-redistricting-state-supreme-courts-524150 and https://www.thestate.com/news/politics-government/state-politics/article198927829.html.

9 For example, the 2017 decision in League of Women Voters of Pennsylvania v. Commonwealth of Pennsylvania, see https://www.pubintlaw.org/wp-content/uploads/2017/06/2018-02-07-Majority-Opinion.pdf.

10 In Pennsylvania, Ohio, and North Carolina, this has meant gains in safe Democratic districts (See Moore v. Harper, Toth v. Chapman, and Adams v. Dewine). In Wisconsin and Virginia, this has meant securing a map that is not as favorable to Republican supermajorities (see Johnson et al. v. Wisconsin Elections Commission and In Re: Decennial Redistricting).

13 For a thorough primer on redistricting rules and processes, see generally McDonald (Reference McDonald2004).

14 Meaders (Reference Meaders2002) also finds no evidence of partisanship in federal Courts of Appeal.

15 Peterson (Reference Peterson2019) does examine some state court redistricting decisions alongside federal court decisions, but does not analyze the impact of party loyalty on individual voting on these courts.

16 This finding did not generalize to all redistricting cases analyzed by McKenzie (Reference McKenzie2012), a caveat worth mentioning.

17 Outside partisan gerrymander challenges, redistricting plans can be challenged on racial gerrymandering grounds, one-person/one-vote grounds, and Voting Rights Act (VRA) grounds.

18 Data were also provided by Hughes, Wilhelm, and Xuan (Reference Hughes, Wilhelm and Wang2023), included in their PAJID update.

19 Votes that included judges of non-identified partisanship (22) or divided government (197) were dropped from the analysis.

20 As a robustness check, we investigate whether our results change when using definitions of party-aligned vote that include the 197 votes on redistricting plans created by divided legislatures. The results of these robustness checks are reported in Table A1, with the results from the main text also included for comparison.

21 PAJID scores are available over a long period of time and are moderately correlated with other measures of judicial ideology (Hughes, Wilhelm, and Wang Reference Hughes, Wilhelm and Wang2023). Nevertheless, other measures of judicial ideology can be employed as robustness checks. We ran versions of the model using two different measures of judicial ideology: the common-space Campaign Finance Scores of Bonica and Woodruff (Reference Bonica and Woodruff2015) and the Dynamic Ideal Points of Windett, Harden, and Hall (Reference Windett, Harden and Hall2015). The results of these robustness checks are reported in Table A2, with the results from the main text also included for comparison.

22 PAJID scores are not available for judges who retired before 1970 or assumed the bench after 2019, thus 250 votes for these judges are not included in the analysis.

23 This information was obtained from the National Center for State Courts (NCSC).

24 The following variables were considered but had no statistical significance in any model, thus we do not discuss here: type of claim involved (VRA, racial gerrymander, or multiple), type of redistricting plan (state, federal, both), and commission-drawn plans. We also examined time periods featuring decisions post-1986 (Davis v. Bandemer 1985), and decisions post-2019 (Rucho v. Common Cause).

25 This is also called the observed value approach. See Hanmer and Kalkan Reference Hanmer and Kalkan2013; Long and Freese Reference Long and Freese2014.

26 The coefficient for the constitutive term indicating merit selection is positive and significant. This coefficient indicates the influence of a judge being in a merit selection system rather than an appointment system on the likelihood of party-aligned voting when ideological extremism is 0. Substantively, this can be interpreted to mean that perfectly moderate judges are 8% more likely to cast a party-aligned vote when merit selected rather than appointed. Approximately 5% of our data have an ideological extremism score between 0 and 5, so for these (somewhat few) judges the selection system they endure is politically important. We perform multiple robustness checks to our results in the supporting materials including two different measures of ideological extremism and operationalizations of party-voting that include redistricting plans created by split legislatures. The results of these analyses demonstrate that our results are robust to alternative model specifications.

References

Bonica, A., and Woodruff, M. J.. 2015. “A Common-Space Measure of State Supreme Court Ideology.” The Journal of Law, Economics, and Organization 31(3): 472498.CrossRefGoogle Scholar
Bonneau, C. W., Cann, D. M.. 2015. “Party Identification and Vote Choice in Partisan and Nonpartisan Elections.” Political Behavior 37: 4366.CrossRefGoogle Scholar
Brace, P., Langer, L., and Hall, M. G.. 2000. “Measuring the Preferences of State Supreme Court Judges.” The Journal of Politics 62(2): 387413.CrossRefGoogle Scholar
Campbell, A., Converse, P. E., Miller, W. E., and Stokes, D. E.. 1960. The American Voter. Chicago, IL: University of Chicago Press.Google Scholar
Carson, J. L., Koger, G., Lebo, M. J., and Young, E.. 2010. “The Electoral Costs of Party Loyalty in Congress.” American Journal of Political Science 54(3): 598616.CrossRefGoogle Scholar
Coker, D. C., and Crain, W. M.. 1994. “Legislative Committees as Loyalty-Generating Institutions.” Public Choice 81(3): 195221.CrossRefGoogle Scholar
Cox, G. W., and Katz, J. N.. 2002. Elbridge Gerry’s Salamander: The Electoral Consequences of the Reapportionment Revolution. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Cox, G. W., and McCubbins, M. D.. 2005. Setting the Agenda: Responsible Party Government in the US House of Representatives. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Cox, G. W., and McCubbins, M. D.. 2007. Legislative Leviathan: Party Government in the House. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Davis v. Bandemer, 478 U.S. 109. 1985.CrossRefGoogle Scholar
Dowell, C. 2018. “Rep. David Lewis: Democrats ’will sue until North Carolina is blue’.” The State. Published February 8, 2018. Retrieved March 27, 2022. https://www.thestate.com/news/politics-government/national-politics/article259913500.html.Google Scholar
Epstein, L., and Knight, J.. 1998. The Choices Justices Make. Washington DC: Congressional Quarterly Press.Google Scholar
Epstein, Lee and Jack, Knight. 2013. “Reconsidering Judicial Preferences.” Annual Review of Political Science (16): 1131.CrossRefGoogle Scholar
Erikson, R. S., Mackuen, M. B., and Stimson, J. A.. 2002. The Macro Polity. Cambridge: Cambridge University Press.Google Scholar
Graves, S. 2003. “Competing Interests in State Supreme Courts: Justices’ Votes and Voting Rights.” The American Review of Politics 24: 267283.CrossRefGoogle Scholar
Hall, M. G. 1987. “An Examination of Voting Behavior in the Louisiana Supreme Court.” Judicature 71: 4047.Google Scholar
Hall, M. G. 1992. “Electoral Politics and Strategic Voting in State Supreme Courts.” The Journal of Politics 54(2): 427446.CrossRefGoogle Scholar
Hanmer, M. J., and Kalkan, K. O.. 2013. “Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models.” American Journal of Political Science 57(1): 263277.CrossRefGoogle Scholar
Herron, M. C. 2000. “Postestimation Uncertainty in Limited Dependent Variable Models.” Political Analysis 8 (1): 8398.CrossRefGoogle Scholar
Huber, G. A., and Gordon, S. C.. 2004. “Accountability and Coercion: Is Justice Blind When it Runs for Office?American Journal of Political Science 48(2): 247263.CrossRefGoogle Scholar
Hughes, D. A., Wilhelm, T., and Wang, X.. 2023. “Updating PAJID Scores for State Supreme Court Justices (1970-2019).” State Politics & Policy Quarterly, 23(4): 463–70.CrossRefGoogle Scholar
Kang, M. S., and Shepherd, J. M.. 2011. “The Partisan Price of Justice: An Empirical Analysis of Campaign Contributions and Judicial Decisions.” NYUL Review 86: 69130.Google Scholar
Kang, M. S., and Shepherd, J. M.. 2016. “The Long Shadow of Bush v. Gore: Judicial Partisanship in Election Cases.” Stanford Law Review 68(6): 14111454.Google Scholar
Kang, M. S., and Shepherd, J. M.. 2017. “Judging Law in Election Cases.” Vanderbilt Law Review 70(6): 17551780.Google Scholar
Kopko, K. C. 2008. “Partisanship Suppressed: Judicial Decision-Making in Ralph Nader’s 2004 Ballot Access Litigation.” Election Law Journal 7(4): 301324.CrossRefGoogle Scholar
League of Women Voters of Pennsylvania v. Commonwealth of Pennsylvania, 159 MM 2017. 2017.Google Scholar
Levitt, J., and Wood, E.. 2010. A Citizen’s Guide to Redistricting. New York: Brennan Center for Justice at NYU Law. https://www.brennancenter.org/our-work/research-reports/citizens-guide-redistricting-2010-edition.Google Scholar
Lim, C. S., and Snyder, J. M. Jr. 2015. “Is More Information Always Better? Party Cues and Candidate Quality in US Judicial Elections.” Journal of Public Economics. 128: 107123.CrossRefGoogle Scholar
Lloyd, R. D. 1995. “Separating Partisanship from Party in Judicial Research: Reapportionment in the U.S. District Courts.” The American Political Science Review 89(2): 413420.CrossRefGoogle Scholar
Long, J. S., and Freese, J.. 2014. Regression Models for Categorical Dependent Variables Using Stata, 3rd edition. College Station, Texas: Stata Press.Google Scholar
McDonald, Michael P. 2004. “A Comparative Analysis of Redistricting Institutions in the United States, 2001–2002.” State Politics and Policy Quarterly 371(4): 371395.CrossRefGoogle Scholar
McKenzie, M. K. 2012. “The Influence of Partisanship, Ideology, and the Law on Redistricting Decisions in the Federal Courts.” Political Research Quarterly 65(4): 799813.CrossRefGoogle Scholar
Meaders, E. L. 2002. Partisanship and Judicial Decision Making in United States Courts of Appeal. Denton, TX: University of North Texas.Google Scholar
Miller, W. E. 1991. “Party Identification, Realignment, and Party Voting: Back to the Basics.” American Political Science Review 85(2): 557568.CrossRefGoogle Scholar
Miller, W. E., and Shanks, M.. 1996. The New American Voter. Cambridge, MA: Harvard University Press.Google Scholar
Peterson, J. C. 2019. “The Mask of Neutrality: Judicial Partisan Calculation and Legislative Redistricting.” Law & Policy 41(3): 336359.CrossRefGoogle Scholar
Rock, E., and Baum, L. 2010. “The Impact of High-Visibility Contests for US State Court Judgeships: Partisan Voting in Nonpartisan Elections.” State Politics & Policy Quarterly 10(4): 368396.CrossRefGoogle Scholar
Rucho v. Common Cause, 588 U.S. ___. 2019.Google Scholar
Segal, J. A., and Spaeth, H. J.. 1993. The Supreme Court and the Attitudinal Model. Cambridge: Cambridge University Press.Google Scholar
Segal, J. A., and Spaeth, H. J.. 2002. The Supreme Court and the Attitudinal Model Revisited. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Squire, P., and Smith, E. R.. 1988. “The Effect of Partisan Information on Voters in Nonpartisan Elections.” The Journal of Politics 50(1): 169179.CrossRefGoogle Scholar
Windett, J. H., Harden, J. J., and Hall, E. K. M.. 2015. “Estimating Dynamic Ideal Points for State Supreme Courts.” Political Analysis 23, no. 3: 461–69.CrossRefGoogle Scholar
Figure 0

Table 1. Number of Votes Cast in Redistricting Cases in State Supreme Courts, 1960–2022

Figure 1

Table 2. Means of Model Variables

Figure 2

Table 3. Predicting a Party-Aligned Vote, 1961–2022

Figure 3

Table 4. Average Discrete Effect of Ideological Extremity on the Probability of a Party-Aligned Vote by Selection System

Figure 4

Figure 1. Probability of a Party–Aligned Vote, by Ideology and Selection System