The COVID-19 pandemic is an unparalleled global crisis. Yet, despite the grave adversity faced by citizens, incumbents around the world experienced a boost in popularity during the onset of the outbreak. In this study, we examine how the response to the COVID-19 outbreak in one country affected incumbent support in other countries. Specifically, we leverage the fact that the first country-wide lockdown on European soil, in Italy on 9 March 2020, happened during the fieldwork of surveys conducted in four other European countries, France, Germany, Poland and Spain. This allows us to examine how an event abroad that alerted citizens to an imminent crisis—prior to a similar domestic government response—influenced incumbent support. Our results indicate a crisis signal effect of Italy's COVID-19 lockdown, as support for the incumbent increased domestically in other European countries after the lockdown. Importantly, these findings suggest that incumbents can benefit from a crisis unfolding in other countries, even when their own performance in response to the same crisis is not yet fully clear. They illustrate the importance of developments abroad for incumbent approval and the difficulty facing citizens seeking to disentangle performance signals from exogenous shocks.

This paper examines whether voters’ experience of extreme weather events such as flooding increases voting in favor of climate protection measures. While the large majority of individuals do not hold consistent opinions on climate issues, we argue that the experience of natural disasters can prime voters on climate change and affect political behavior. Using micro-level geospatial data on natural disasters, we exploit referendum votes in Switzerland, which allows us to obtain a behavioral rather than attitudinal measure of support for policies tackling climate change. Our findings indicate a sizeable effect for pro-climate voting after experiencing a flood: vote-share supporting pro-climate policies can increase by 20 percent. Our findings contribute to the literature exploring the impact of local conditions on electoral behavior.

Voters tend to be richer, more conservative, and more educated than non-voters. While many electoral reforms promise to increase political participation, these policy instruments may have multidimensional and differential effects that can increase or decrease the representativeness of turnout. We develop an approach that allows us to estimate these effects and assess the impact of postal voting on representational inequality in Swiss referendums using individual-level ($N = 79,\; 000$) and aggregate-level data from 1981 to 2009. We find that postal voting mobilizes equally across a wide range of political and sociodemographic groups but more strongly activates high earners, those with medium education levels, and less politically interested individuals. Yet, those who vote are not less politically knowledgeable and the effects on the composition of turnout remain limited. Our results inform research on the consequences of electoral reforms meant to increase political participation in large electorates.

Social media may help civil society organize and mobilize for different campaigns. However, the extent to which social media campaigns simply recruit like-minded individuals as compared to exerting a causal impact on joiners’ attitudes is difficult to disentangle. We test both the organizational and transformative potential of a civil society campaign in a randomized field experiment deployed via Facebook or an email newsletter in collaboration with a Bulgarian environmental campaign. As expected, we find that Bulgarian Facebook users who are active in pro-environmental groups, and those who decide to follow the campaign, are more highly educated than those who decide to stay at the sidelines. Moreover, beliefs in the effectiveness of civic society, character traits and prior activism systematically predict whether a Bulgarian Facebook user decides to join the cause on Facebook, or subscribe to the email newsletter. In contrast, we find little evidence that the campaign affected opinions, knowledge, or self-reported behavior. We conclude that social media campaigns that are commonplace among civil society organizations are effective at selecting activist-types, but changing the views and behaviors of the broader social media population may be more difficult than assumed.

We explore mediated representations of parties' campaign interactions in multi-party systems. Actors in multi-party systems can engage with different actors on multiple issues. One crucial aspect of such engagement is the element of negativity—voicing criticisms of other actors' actions and policy proposals. This contribution argues that the media systematically exaggerate patterns of negativity based on issue ownership structures, such that attacks originating from or targeting issue owners are significantly more likely to be covered. We analyze a broad sample of news content from the 2013 Austrian national election campaign with generalized exponential random graph models to capture the complexities of mediated campaign negativity in a multi-party system while controlling for non-mediated campaign negativity. The results show that issue owners are more likely to be featured as attackers and targets in owned policy domains, suggesting a violation of the normative ideal of a fair representation of campaign interactions.

In an effort to break the link between districts' lack of competitiveness and the election of ideologues, Washington and California recently adopted the “top-two” primary election system. Among other features, the top-two primary allows members of the same party to run against one another in the general election. Although proponents argue that this system encourages the election of more moderate candidates in highly partisan districts, early reports have uncovered mixed evidence of this effect. This study addresses this puzzle by first disentangling the conditions under which one should expect such primaries to encourage the election of more moderate candidates. Using election returns data from the 2008 through 2014 elections, I find that districts facing same-party general-election competition do elect more moderate legislators than similar districts not subject to same-party competition. However, using an application of a common regression discontinuity diagnostic test, I also find that elite actors appear able to strategically avoid this kind of competition—partially explaining why broader effects of the top-two have not been uncovered. The findings contribute not only to ongoing debates about the effectiveness of the top-two primary, but also to our understanding of how political elites may maneuver institutional changes to their own benefit.

In small samples, maximum likelihood (ML) estimates of logit model coefficients have substantial bias away from zero. As a solution, we remind political scientists of Firth's (1993, Biometrika, 80, 27–38) penalized maximum likelihood (PML) estimator. Prior research has described and used PML, especially in the context of separation, but its small sample properties remain under-appreciated. The PML estimator eliminates most of the bias and, perhaps more importantly, greatly reduces the variance of the usual ML estimator. Thus, researchers do not face a bias-variance tradeoff when choosing between the ML and PML estimators—the PML estimator has a smaller bias and a smaller variance. We use Monte Carlo simulations and a re-analysis of George and Epstein (1992, American Political Science Review, 86, 323–337) to show that the PML estimator offers a substantial improvement in small samples (e.g., 50 observations) and noticeable improvement even in larger samples (e.g., 1000 observations).

Signaling games are central to political science but often have multiple equilibria, leading to no definitive prediction. We demonstrate that these indeterminacies create substantial problems when fitting theory to data: they lead to ill-defined and discontinuous likelihoods even if the game generating the data has a unique equilibrium. In our experiments, currently used techniques frequently fail to uncover the parameters of the canonical crisis-signaling game, regardless of sample size and number of equilibria in the data generating process. We propose three estimators that remedy these problems, outperforming current best practices. We fit the signaling model to data on economic sanctions. Our solutions find a novel U-shaped relationship between audience costs and the propensity for leaders to threaten sanctions, which current best practices fail to uncover.

Though the demographic characteristics of judicial nominees in the United States have gained increased political attention in recent years, relatively little is known about how they affect public opinion toward judicial nominees and courts. We evaluate these relationships in the context of race and gender using a conjoint experiment conducted during a recent vacancy on the U.S. Supreme Court. We find consistent evidence that Americans are more supportive of coracial nominees, particularly among white Republicans and Black Democrats, but no evidence of a similar effect on the basis of gender. Our results have important implications for theories of descriptive representation and suggest limits to its use as a means for generating political support for judicial nominees.

Loyalty is a permanent concern to dictators. It is unclear, however, whether loyalty to a dictator assures the ruling group's cohesiveness. This study shows that authoritarian political elites under promotion pressure, while remaining loyal to their superior, also compete within factions to outrival their peers. Exploiting data on Chinese provincial leaders and local media reports on corruption investigations and industrial accidents (2000–2014), we find that Chinese elites promote negative news related to their co-faction peers as frequently as - or, depending on the measure, even more often than - they promote similar news regarding members of other factions. We also find that negative reports indeed reduce the promotion probability of reported cadres, while increasing that of reporting ones.

Recent work on political divisions in the mass public has identified several manifestations of polarization linked to different types of attitudes, orientations, and behaviors. Of these, affective polarization and perceived polarization have attracted increasing attention, though we still know fairly little of the links between these variants of polarization. In this paper, we examine the association between affective and perceived polarization, with an aim toward disentangling any potential causal relationship between the two processes. Using two sets of nationally representative panel data from 1992 to 1996 and 2008 to 2009, we find evidence that affective polarization causes perceived polarization, and that perceived polarization is not related to future affective polarization. Stratifying the models by level of political information, we find that the strength and statistical significance of the relationships between past and future values of affective and perceived polarization are conditional on political sophistication: more sophisticated individuals exhibit stronger relationships.

Ethnic relations play an important political role in many countries and can have serious consequences for policy and stability, with many conflicts occurring along ethnic lines. While most studies on ethnic relations focus on the behavior of the general public, ethnic bias among political elites may be equally consequential but remains understudied. This study explores tools that improve interethnic cooperation among politicians in governance (rather than electoral competition). We argue that shared interests incentivize elites to overcome ethnic bias. We conduct two experiments (one survey and one lab-in-the-field) with local politicians in Bosnia and Herzegovina and find support for this expectation, i.e., concrete information about shared policy priorities and goals foster interethnic cooperation.

Social scientists use the concept of interactions to study effect dependency. In the causal inference literature, interaction terms may be used in two distinct type of analysis. The first type of analysis focuses on causal interactions, where the analyst is interested in whether two treatments have differing effects when both are administered. The second type of analysis focuses on effect modification, where the analyst investigates whether the effect of a single treatment varies across levels of a baseline covariate. While both forms of interaction analysis are typically conducted using the same type of statistical model, the identification assumptions for these two types of analysis are very different. In this paper, we clarify the difference between these two types of interaction analysis. We demonstrate that this distinction is mostly ignored in the political science literature. We conclude with a review of several applications where we show that the form of the interaction is critical to proper interpretation of empirical results.

Despite a high cross-country correlation between development and democracy, it is difficult to gauge the impact of economic development on the probability that autocracies will transition to democracy because of endogeneity, especially due to reverse causation and omitted variable bias. Hence, whether development causes democracy remains a contested issue. We exploit exogeneity in the regional variation of potato cultivation along with the timing of the introduction of potatoes to the Old World (i.e., a potato productivity shock) to identify a causal effect of urbanization, a proxy for economic development, on democratization. Our results, which hold under sensitivity analyses that question the validity of the exclusion restriction, present new evidence of the existence of a causal effect of economic development on democracy.

Does political office cause worse or better longevity prospects? Two perspectives in the literature offer contradicting answers. First, increased income, social status, and political connections obtained through holding office can increase longevity. Second, increased stress and working hours associated with holding office can have detrimental effects on longevity. To provide causal evidence, we exploit a regression discontinuity design with unique data on the longevity of candidates for US gubernatorial office. The results show that politicians winning a close election live 5–10 years longer than candidates who lose.

Regression discontinuity design could be a valuable tool for identifying causal effects of a given party holding a legislative majority. However, the variable “number of seats” takes a finite number of values rather than a continuum and, hence, it is not suited as a running variable. Recent econometric advances suggest the necessary assumptions and empirical tests that allow us to interpret small intervals around the cut-off as local randomized experiments. These permit us to bypass the assumption that the running variable must be continuous. Herein, we implement these tests for US state legislatures and propose another: whether a slim-majority of one seat had at least one state-level district result that was itself a close race won by the majority party.