If political circumstances are an important cause of unemployment in the Middle East, does this tend to attenuate the influence of economic infrastructure? I approach this question by building a geospatial dataset of the West Bank, an area with high unemployment arguably linked to political problems. I find Israeli army road obstacles, deployed during the Second Intifada, obstructed peri-urban Palestinian commuters from accessing commercial centers and border crossings, inflicting employment losses that were substantially offset by employment gains among their more centrally located Palestinian competitors. The findings suggest that marginal economic interventions, such as removing obstacles or paving roads, have a good chance of altering the spatial distribution of unemployment, but may struggle to reduce overall unemployment levels absent political reform.

This paper sheds new light on the drivers of civil service reform in US states. We first demonstrate theoretically that divided government is a key trigger of civil service reform, providing nuanced predictions for specific configurations of divided government. We then show empirical evidence for these predictions using data from the second half of the 20th century: states tended to introduce these reforms under divided government, and in particular when legislative chambers (rather than legislature and governor) were divided.

Twitter is a prominent communication tool for politicians with two potential uses: as a “substitute” channel to circumvent constraints from other political arenas, or as an “amplifier” that reinforces party messages. Using a novel dataset containing tweets and parliamentary speeches by members of parliament (MPs) in seven countries, we estimate politicians’ positions and intra-party dissent on European integration. We find that MPs’ sentiment about Europe on Twitter is a valid measure of their party's position, while also uncovering intra-party disagreements. Our results suggest that most MPs amplify the partisan message, but MPs who participate less in parliamentary debate tend to have larger differences with their party on Twitter. Social media thus can free politicians from their party's grip.

Research shows that government-controlled media is an effective tool for authoritarian regimes to shape public opinion. Does government-controlled media remain effective when it is required to support changes in positions that autocrats take on issues? Existing theories do not provide a clear answer to this question, but we often observe authoritarian governments using government media to frame policies in new ways when significant changes in policy positions are required. By conducting an experiment that exposes respondents to government-controlled media—in the form of TV news segments—on issues where the regime substantially changed its policy positions, we find that by framing the same issue differently, government-controlled media moves respondents to adopt policy positions closer to the ones espoused by the regime regardless of individual predisposition. This result holds for domestic and foreign policy issues, for direct and composite measures of attitudes, and persists up to 48 hours after exposure.

Where do armed conflicts occur? In applied studies, we may take ad hoc approaches to answer this question. In some regression studies, for instance, a single conflict event can cause an entire province to be classified as a conflict zone. In this paper, I fill this void of knowledge by developing a machine learning method that is less dependent on the areal-unit assumptions and can flexibly estimate conflict zones. I apply the method to a conflict event dataset and create a new dataset of conflict zones. A replication of Daskin and Pringle (2018, Nature 553, 328–332) with the new dataset indicates that the effect of civil war on mammal populations is much smaller than the original estimate.

Conventional OLS fixed-effects and GLS random-effects estimators of dynamic models that control for individual-effects are known to be biased when applied to short panel data (T ≤ 10). GMM estimators are the most used alternative but are known to have drawbacks. Transformed-likelihood estimators are unused in political science. Of these, orthogonal reparameterization estimators are only tangentially referred to in any discipline. We introduce these estimators and test their performance, demonstrating that the unused orthogonal reparameterization estimator in particular performs very well and is an improvement on the commonly used GMM estimators. When T and/or N are small, it provides efficiency gains and overcomes the issues GMM estimators encounter in the estimation of long-run effects when the coefficient on the lagged dependent variable is close to one.

Politicians frequently use political speech to foster hostility toward immigrants, a strategy that shapes political preferences and behavior and feeds the success of the populist right. Whether political speech can be used to foster tolerance of immigrants, however, remains unexplored. We identify three mechanisms by which political speech could increase tolerance: (1) stressing in-group conceptions that highlight commonalities with immigrants; (2) emphasizing inclusiveness as an in-group norm; and (3) providing information that counters anti-immigrant stereotypes. Using quotes from US politicians in two survey experiments, we find that pro-immigrant speech that stresses inclusive norms or counters negative stereotypes about immigrants leads to more tolerant attitudes (but not behavior) toward immigrants. These effects are small and detectable only in large samples.

Although the literature on US Supreme Court agenda-setting is sizable, justice-vote-level multivariate analyses of certiorari are almost exclusively limited to samples of discussed cases from 1986 to 1993. Moreover, these studies have done very little to explore justice-level heterogeneity on certiorari. Here, we address these lacunae by analyzing the predictors of individual justices’ cert votes on all paid cases from the 1939, 1968, and 1982 terms. We find substantial justice-level heterogeneity in the weight that justices place on the standard set of forces shaping the cert vote. We also show that some of this heterogeneity is associated with justices’ experience and ideological extremism, largely in theoretically predicted ways. In closing, we sound a note of caution on drawing conclusions about effects of justice attributes, when the number of justices is relatively small.

Voters often favor candidates who benefit them individually but may coordinate their support with their social group on other candidates in exchange for policies targeting their group. In a laboratory experiment, I induce group identities to investigate the behavior of voters facing such trade-offs. I find that groups with low within heterogeneity often secure the club good from a candidate who is also individually beneficial to a majority of the group. In more heterogeneous groups, coordination on that candidate often fails and while the group still receives club goods, it is from a candidate whose policies are otherwise individually costly to most of the group. The results highlight the role strategic considerations play in the formation of group-based electoral coalitions.

This study presents a pattern overlooked in previous research on measuring sensitive political outcomes: over the course of data collection, responses tend to shift in the direction of support for the local incumbent power. We suggest that, whereas earlier responses are largely devoid of this social desirability bias, word of the research spreads across enumeration areas, and individuals interviewed later in the process alter their responses out of fear of retribution for inappropriate answers. We document the pattern using original data from two surveys on support for violent extremism conducted in three different countries in the Sahel region of Africa. We rule out a host of alternative explanations and further confirm that the pattern can arise not just with overt survey measures but even with covert, experimental ones. We then demonstrate the same pattern using out-of-sample data from a separate well-known study. The findings offer a cautionary note to both conventional and experimental approaches to measuring sensitive attitudes.

Electoral reforms affect legislative outcomes by influencing incumbent legislators’ behavior, new entrants’ behavior, and the probability that incumbents are replaced with new entrants. Empirical work on electoral reforms and polarization has focused on new entrants’ behavior. We employ a simple decision theoretic framework with partial incumbent policy persistence and spatial voting to examine the three channels jointly. We show that a reform designed to encourage ideological moderation produces larger effects on polarization when the reform is implemented than when it is removed. The key insight is that implementing a moderation-inducing reform generates a set of challengers who are more likely to defeat incumbents while the incumbents are more likely to win reelection when the reform is removed. We then empirically examine how elections and legislative polarization respond to unlimited PAC contributions in state legislatures. Examining incumbents’ decisions to stand for reelection, the electoral performance of incumbents who do run, and partisan polarization, we find empirical support for our predictions.

How well are voters represented and what explains how well voters are represented? Answering these questions requires unpacking the mechanisms by which voters choose elected officials and elected officials implement policies. Though spatial theories of voting and legislative bargaining provide a broad framework for understanding these mechanisms, testing these theories involves a measurement problem where multiple political actors and outcomes must be located. We develop a technique for estimating policy outcomes, status quo locations, the ideology of elite political actors, and the ideology of voters, on a common scale. Using our new estimates, we demonstrate a similar level of incongruence for tax policies and spending policies. The incongruence arises for different reasons however—tax policies are over-responsive to the position of the median voter. Contrarily, spending policies are under-responsive and barely correlated with the position of the median voter. In examining the underlying mechanisms for policy change, we find that while the positions of elected officials over-respond to the median voter, the changing composition of state government has little immediate impact on policy. Instead, policy outcomes respond to long-term trends in the composition of government.

Individuals' attitudes about gender roles have been shown to be associated with a wide range of political outcomes. It is therefore crucial to better understand what shapes these attitudes. This note takes advantage of a randomized survey experiment embedded in the 2018 wave of the European Social Survey (ESS) to investigate how differences in education levels between partners influence the “gender childcare bias”—the extent to which individuals disapprove more of women working full time with children under three than men. Although male and female respondents exhibit an equally strong gender childcare bias on average, we find clear-cut evidence that the bias varies asymmetrically across the household education gap for women and men. In particular, positive household education gaps lead to a smaller gender childcare bias for female respondents, whereas the opposite holds for male respondents. Our findings are more in line with a resource-bargaining approach than a gender identity approach to the formation of gender role attitudes.

A great deal of research presents the correspondence between economic conditions and incumbent electoral fortunes as evidence of democratic accountability. A central theoretical mechanism for this phenomenon is that voters have information about performance. Using communications data consisting of more than 110,000 government press releases from cities in the US combined with fine-grained economic and crime data, I leverage the breadth of local variation in conditions to assess the inputs to this mechanism behind accountability. I provide causal evidence that government communication changes as a result of performance in a strategic manner: local politicians are more likely to communicate about both economic conditions and crime when performance is improving—better wages and less crime—than when performance is worse. These findings add direct evidence from the underutilized area of local politics that politicians strategically communicate in a way that threatens accountability.

The literature on autocracies has argued that repression of protest is either a result of the political environment in which protest occurs, or depends on particular characteristics of the protest events themselves. We argue that the interaction of both matters. Authoritarian regimes vary in how they legitimize their rule, and they should be particularly thin-skinned if protesters challenge the basis of their legitimacy. Using event-level data on mass mobilization in autocracies between 2003 and 2015, we use text classification methods to extract protest issues from newspaper reports. Our analysis shows that dictators are more likely to repress protest against incumbents when they claim legitimacy based on the person of the leader. Overall, our study shows that protest issues are not universal in triggering repression; rather, they need to be considered together with the political context in which they are raised.

Decades of research has debated whether women first need to reach a “critical mass” in the legislature before they can effectively influence legislative outcomes. This study contributes to the debate using supervised tree-based machine learning to study the relationship between increasing variation in women's legislative representation and the allocation of government expenditures in three policy areas: education, healthcare, and defense. We find that women's representation predicts spending in all three areas. We also find evidence of critical mass effects as the relationships between women's representation and government spending are nonlinear. However, beyond critical mass, our research points to a potential critical mass interval or critical limit point in women's representation. We offer guidance on how these results can inform future research using standard parametric models.

What is the effect of violence on political mobilization? Taking the repression-mobilization nexus debate as a starting point, we study the effects of police interventions on political participation, focusing on the Spanish police crackdown on Catalonia's independence referendum on 1 October 2017. We analyze the effect of police actions on turnout using detailed aggregate data, as well as a survey conducted a few days after the referendum. The two empirical approaches show that police interventions had both deterrent and inverse spatial spillover effects. Although police raids had a local negative impact on turnout, they induced positive spillover effects in the surrounding areas. Our findings also indicate heterogeneity in the spatial dynamics, with police actions encouraging people to go to vote in nearby areas, but also mobilizing residents in neighboring areas to participate, especially those individuals with fewer incentives to turn out to vote.

Many believe primary elections distort representation in American legislatures because unrepresentative actors nominate extremist candidates. Advocates have reformed primaries to broaden voter participation and increase representation. Empirical evidence, however, is quite variable on the effects of reform. I argue that when institutional reform narrows one pathway of political influence, aggrieved actors take political action elsewhere to circumvent reform. I use a difference-in-differences design in the American states and find that although changing primary rules increases primary turnout, campaign contributions also increase with reform. Implementing nonpartisan primaries and reforming partisan primaries lead to estimated 9 and 21 percent increases in individual campaign contributions per cycle. This suggests actors substitute action across avenues of political influence to limit effects of institutional reform.

A growing body of empirical research shows an association between public support for the US Supreme Court and both judicial independence and congressional court curbing activity. At the same time, studies of jurisdiction stripping show Congress’ efforts to limit federal courts’ jurisdiction are principally related to courts’ workloads rather than ideological differences between courts and Congress. Here, the authors connect these streams of inquiry by testing the hypothesis of a negative relationship between public support for the Supreme Court and jurisdiction-stripping legislation. Contrary to prior studies, the authors find a positive relationship between Americans’ confidence in the Supreme Court and jurisdiction stripping. This result indicates the need for additional research on the interactions among public opinion, federal courts, and Congress.

Although attention to populism is ever-increasing, the concept remains contested. This paper provides a comprehensive overview of populism research and identifies tendencies to a conflation of host ideologies and populism in political science through a two-step analysis. First, we conduct a quantitative review of 884 abstracts from 2004 to 2018 using text-as-data methods. We show that scholars sit at “separate tables,” divided by geographical foci, methods, and host ideologies. Next, our qualitative analysis of 50 articles finds a common conflation of populism with other ideologies, resulting in the analytical neglect of the former. We, therefore, urge researchers to properly distinguish populism from “what it travels with” and engage more strongly with the dynamic interlinkages between thin and thick ideologies.