List experiments are a widely used survey technique for estimating the prevalence of socially sensitive attitudes or behaviors. Their design, however, makes them vulnerable to bias: because treatment group respondents see a greater number of items (J + 1) than control group respondents (J), the treatment group mean may be mechanically inflated due simply to the greater number of items. The few previous studies that directly examine this do not arrive at definitive conclusions. We find clear evidence of inflation in an original dataset, though only among respondents with low educational attainment. Furthermore, we use available data from previous studies and find similar heterogeneous patterns. The evidence of heterogeneous effects has implications for the interpretation of previous research using list experiments, especially in developing world contexts. We recommend a simple solution: using a necessarily false placebo statement for the control group equalizes list lengths, thereby protecting against mechanical inflation without imposing costs or altering interpretations.

While youth suffrage is widely debated, the causal effects of being eligible to vote on adolescents' political attitudes are less well known. To gain insights into this question, we leverage data from a real-life quasi-experiment of voting at 16 in the city of Ghent (Belgium). We compare the attitudes of adolescents that were entitled to vote with their peers that just fell below the age cut-off. We also examine the effects of the enfranchisement at 18-years-old. While we find an effect of youth enfranchisement on attention to politics, there is no evidence for an effect of enfranchisement on political engagement overall.

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.

Electronic voting technology is often proposed as translating voter intent to vote totals better than alternative systems such as paper ballots. We suggest that electronic voting machines (EVMs) can also alter vote choice, and, in particular, the way in which voters register anti-system sentiment. This paper examines the effects of the introduction of EVMs in India, the world's largest democracy, using a difference-in-differences methodology that takes advantage of the technology's gradual introduction. We find that EVMs are associated with dramatic declines in the incidence of invalid votes, and corresponding increases in vote for minor candidates. There is ambiguous evidence for EVMs decreasing turnout, no evidence for increases in rough proxies of voter error or fraud, and no evidence that machines with an auditable paper trail perform differently from other EVMs. The results highlight the interaction between voter technology and voter protest, and the substitutability of different types of protest voting.

A wealth of research documents the rise of affective polarization, or the increasing disdain for the out-party in American politics. In this paper, we analyze ANES data from 1988 to 2016 to investigate the contribution of core value polarization to the phenomenon of out-party enmity. We find that greater differences in fundamental principles relate significantly to emotionally intense evaluations of the opposing party and its candidates, as well as the ideological out-group, independent of issue attitude extremity and the strength of one's partisan and ideological identities. Moreover, ANES panel data from 1992 to 1996 reveal that past value extremity promotes future affective polarization. These results are important for our understanding of the nature and extent of value-based polarization in American politics.

In the wake of the 2008 financial crisis, macroeconomic policy returned to the political agenda, and the influence of Keynesian ideas about fiscal stimulus rose (and then fell) in expert circles. Much less is known, however, about whether and when Keynesian prescriptions for countercyclical spending have any support among the general public. We use a survey experiment, fielded twice, to recover the extent to which UK respondents hold such countercyclical attitudes. Our results indicate that public opinion was countercyclical—Keynesian—in 2016. We then use Eurobarometer data to estimate the same basic parameter for the population for the period 2010–2017. The observational results validate our experimental findings for the later period, but also provide evidence that the UK population held procyclical views at the start of the period. Thus, there appear to be important dynamics in public opinion on a key macroeconomic policy issue.

In many developing countries, national legislative seats are considered less valuable than (subnational) executive positions. Even then, ambitious politicians may seek a legislative seat either (a) as a window of opportunity for jumping to an executive office; or (b) as a consolation prize when no better option is available. Using a regression discontinuity design adapted to a pr setting, we examine these possibilities in the Argentine Chamber of Deputies between 1983 and 2011. In line with the consolation prize story, we find that marginal candidates from the Peronist party—which controls most provincial governorships—are more likely to be renominated and serve an additional term in the legislature, but not necessarily to jump to an executive office. The effect is stronger in small provinces.

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.

Publication bias is pervasive in social and behavioral sciences because journals and scholars tend to reward and be rewarded for statistically significant findings. However, the determinants of the severity of publication bias are less well understood. We argue that publication bias depends on whether an independent variable is a key variable or statistical control in traditional regression modeling. The bias should be severe only for the key variable that relates to a central question and hypothesis in a study. We offer an empirical strategy to detect the conditional nature of publication bias. As an illustration, we perform a meta-regression of 229 model estimates from 36 articles in the democracy-foreign direct investment literature. We find that publication bias is most severe when democracy is a key variable, but appears weak when democracy is a control. Our research demonstrates that empirical estimates for key and control variables follow different data generation processes and makes a novel contribution to the study of publication bias that affects many research areas.

At least two theories have been offered that explain the rise of affective polarization. Some scholars, relying on social identity theory, argue that as the relevance of party identification increased, Americans became more likely to see their in-party in positive terms and the out-party in negative terms. Other scholars argue that affective polarization is a reaction to increasingly extreme political actors. This study seeks to arbitrate between these two theories of affective polarization through a survey experiment which asks respondents to rate candidates whose party (or lack thereof) and ideology (or lack thereof) is randomly assigned. In line with the policy-oriented view of affective polarization, respondents reacted far more strongly to ideology than party, especially if it was the ideology of the member of the out-party.

Inattentive respondents introduce noise into data sets, weakening correlations between items and increasing the likelihood of null findings. “Screeners” have been proposed as a way to identify inattentive respondents, but questions remain regarding their implementation. First, what is the optimal number of Screeners for identifying inattentive respondents? Second, what types of Screener questions best capture inattention? In this paper, we address both of these questions. Using item-response theory to aggregate individual Screeners we find that four Screeners are sufficient to identify inattentive respondents. Moreover, two grid and two multiple choice questions work well. Our findings have relevance for applied survey research in political science and other disciplines. Most importantly, our recommendations enable the standardization of Screeners on future surveys.

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.

Building on past research, we implement a hierarchical latent class model to analyze political participation from a comparative perspective. Our methodology allows simultaneously: (i) estimating citizens’ propensity to engage in conventional and unconventional modes of participation; (ii) classifying individuals into underlying “types” capturing within- and cross-country variations in participation; and (iii) assessing how this classification varies with micro- and macro-level factors. We apply our model to Latin American survey data. We show that our method outperforms alternative approaches used to study participation and derive typologies of political engagement. Substantively, we find that the distribution of participatory types is similar throughout the continent, and that it correlates strongly with respondents’ socio-demographic characteristics and crime victimization.

Subnational analyses of political preferences are substantively relevant and offer advantages for causal inference. Yet, our knowledge on regional political preferences across Europe is limited, not least because there is a lack of adequate data. The rich Eurobarometer (EB) data is a promising source for European-wide regional information. Yet, it is only representative for the national level. This paper compares state-of-the-art methods for estimating regional preferences from nationally representative EB data, validating predictions with regionally representative surveys. Our analysis highlights a number of challenges for estimating regional preferences across Europe, such as data availability, variable selection, and over-fitting. We find that predictions are best using a Bayesian additive regression tree with synthetic post-stratification.

I analyze a model in which an incumbent ruler designs a rule for propaganda disclosure that reveals information about her competence to her allies and opponents. A message that increases beliefs about the incumbent's competence is considered as propaganda. I show that for propaganda to be persuasive, it must be limited in frequency. I also demonstrate how various features of the environment affect the frequency of propaganda. Propaganda increases in frequency as the incumbent's allies become more dependent on her and as her opponents become weaker. Further, there is a non-monotonic relationship between the strength of the conflict of interest between both her allies and her opponents and the frequency of propaganda. As conflict increases, the frequency of propaganda decreases up to a threshold beyond which increased conflict is associated with more frequent propaganda.

How responsive is the US’ Trade Adjustment Assistance (TAA) to the labor dislocation that results from trade integration? Recent findings suggest that the world's most ambitious trade adjustment program barely responds to import shocks, and that the shortfall is made up by disability insurance and early retirement. This holds considerable implications: TAA offers a lens onto the central question of whether developed democracies can effectively redistribute the gains from international economic integration. We take a closer look at these results. Using petition-level data over a 20-year period, we find that TAA is between 1.7 and 3.3 times more responsive than current estimates suggest. Yet the news is not all good. As we show, the responsiveness of TAA has decreased considerably since the 1990s, just as developed democracies started facing increasing pushback against liberalization. This shortfall, in turn, has political consequences: areas where TAA has been least responsive were also more likely to shift toward voting for Trump in the 2016 Presidential election. Our findings speak to the considerable challenge governments face in aiding workers “left behind” by liberalization.

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.

We analyze a two-election political agency model with moral hazard and adverse selection in which candidates have observable traits such as job qualifications that help voters to imperfectly predict politicians' types. Candidate's traits can help voters select good types of politicians. However, selecting candidates with good traits can reduce accountability because the voter cannot commit to throw out politicians with good traits who produce bad outcomes. This result explains when and why voters may sometimes select candidates who they believe are less likely to be competent.

There is a long tradition of imputation studies looking at how abstainers would vote if they had to. This is crucial for democracies because when abstainers and voters have different preferences, the electoral outcome ceases to reflect the will of the people. In this paper, we apply a non-parametric method to revisit old evidence. We impute the vote of abstainers in 15 European countries using Coarsened Exact Matching (CEM). While traditional imputation methods rely on the choice of voters that are on average like abstainers, and simulate full turnout, CEM only imputes the vote of the abstainers that are similar to voters, and allows to simulate an electoral outcome under varying levels of turnout, including levels that credibly simulate compulsory voting. We find that higher turnout would benefit social democratic parties while imposing substantial losses to extreme left and green parties.