Under what conditions does state expansion into limited statehood areas improve perceptions of state authority? Although previous work emphasizes identity or institutional sources of state legitimacy, I argue that relationships between state agents and citizens drive positive attitude formation, because these relationships provide information and facilitate social bonds. Moreover, when state agents and citizens share demographic characteristics, perceptional effects may improve. Finally, citizens finding procedural interactions between state agents and citizens unfair may adopt negative views about the state. I test these three propositions by randomizing household visits by male or female police officers in rural Liberia. These visits facilitated relationship building, leading to improved perceptions of police; shared demographic characteristics between police and citizens did not strengthen this effect. Perceptions of unfairness in the randomization led to negative opinions about police. The results imply that relationship building between state agents and citizens is an important part of state building.

When forming opinions, mass publics may implicitly or explicitly value some people’s well-being more than others. Here we examine how two forms of this phenomenon—ethnocentric valuation and moral exclusion—affect attitudes toward international trade. We hypothesize that attitudes toward competition and believing that trade is a competition moderate the extent of ethnocentric valuation and moral exclusion; although all citizens value their co-nationals’ livelihoods systematically more than those of people in trading partner countries, greater ethnocentric valuation and moral exclusion occur when trade is seen as a competition and when individuals hold more positive attitudes toward competition.

Using two survey experiments conducted on representative samples of both Americans and Canadians, we examine how differential valuation of in-country and out-country job gains and losses influences trade policy preferences. We test a series of hypotheses using multiple variables tied to competitive attitudes across two countries that differ in their attitudes toward competition.

Retrospective voting is vital for democracy. But, are the objective performance metrics widely thought to be relevant for retrospection—such as the performance of the economy, criminal justice system, and schools, to name a few—valid criteria for evaluating government performance? That is, do political coalitions actually have the power to influence the performance metrics used for retrospection on the timeline introduced by elections? Using difference-in-difference and regression discontinuity techniques, we find that US states governed by Democrats and those by Republicans perform equally well on economic, education, crime, family, social, environmental, and health outcomes on the timeline introduced by elections (2–4 years downstream). Our results suggest that voters may struggle to truly hold government coalitions accountable, as objective performance metrics appear to be largely out of the immediate control of political coalitions.

Foreign electoral intervention is an increasingly important tool for influencing politics in other countries, yet we know little about when citizens would tolerate or condemn foreign efforts to sway elections. In this article, we use experiments to study American public reactions to revelations of foreign electoral intervention. We find that even modest forms of intervention polarize the public along partisan lines. Americans are more likely to condemn foreign involvement, lose faith in democracy, and seek retaliation when a foreign power sides with the opposition, than when a foreign power aids their own party. At the same time, Americans reject military responses to electoral attacks on the United States, even when their own political party is targeted. Our findings suggest that electoral interference can divide and weaken an adversary without provoking the level of public demand for retaliation typically triggered by conventional military attacks.

State interventions against organized criminal groups (OCGs) sometimes work to improve security, but often exacerbate violence. To understand why, this article offers a theory about criminal governance in five types of criminal regimes—Insurgent, Bandit, Symbiotic, Predatory, and Split. These differ according to whether criminal groups confront or collude with state actors, abuse or cooperate with the community, and hold a monopoly or contest territory with rival OCGs. Police interventions in these criminal regimes pose different challenges and are associated with markedly different local security outcomes. We provide evidence of this theory by using a multimethod research design combining quasi-experimental statistical analyses, automated text analysis, extensive qualitative research, and a large-N survey in the context of Rio de Janeiro’s “Pacifying Police Units” (UPPs), which sought to reclaim control of the favelas from criminal organizations.

Over the past two decades, there has been a marked increase in partisan social polarization, leaving scholars in search of solutions to partisan conflict. The psychology of intergroup relations identifies empathy as one of the key mechanisms that reduces intergroup conflict, and some have suggested that a lack of empathy has contributed to partisan polarization. Yet, empathy may not always live up to this promise. We argue that, in practice, the experience of empathy is biased toward one’s ingroup and can actually exacerbate political polarization. First, using a large, national sample, we demonstrate that higher levels of dispositional empathic concern are associated with higher levels of affective polarization. Second, using an experimental design, we show that individuals high in empathic concern show greater partisan bias in evaluating contentious political events. Taken together, our results suggest that, contrary to popular views, higher levels of dispositional empathy actually facilitate partisan polarization.

Drug traffickers sometimes share profits peacefully. Other times they fight. We propose a model to investigate this variation, focusing on the role of the state. Seizing illegal goods can paradoxically increase traffickers’ profits, and higher profits fuel violence. Killing kingpins makes crime bosses short-sighted, also fueling conflict. Only by targeting the most violent traffickers can the state reduce violence without increasing supply. These results help explain empirical patterns of violence in drug war, which is less studied than are interstate or civil war but often as deadly.

We develop and estimate a model of learning that accounts for the observed correlation between economic development and democracy and for the clustering of democratization events. In our model, countries’ own and neighbors’ past experiences shape elites’ beliefs about the effects of democracy on economic growth and their likelihood of retaining power. These beliefs influence the choice to transition into or out of democracy. We show that learning is crucial to explaining observed transitions since the mid-twentieth century. Moreover, our model predicts reversals to authoritarianism if the world experienced a growth shock the size of the Great Depression.

We explore the long-term political consequences of the Third Reich and show that current political intolerance, xenophobia, and voting for radical right-wing parties are associated with proximity to former Nazi concentration camps in Germany. This relationship is not explained by contemporary attitudes, the location of the camps, geographic sorting, the economic impact of the camps, or their current use. We argue that cognitive dissonance led those more directly exposed to Nazi institutions to conform with the belief system of the regime. These attitudes were then transmitted across generations. The evidence provided here contributes both to our understanding of the legacies of historical institutions and the sources of political intolerance.

Although the majority of research on revolving-door lobbyists centers on the influence they exercise during their postgovernment careers, relatively little attention is given to whether future career concerns affect the behaviors of revolving-door lobbyists while they still work in government. We argue that the revolving-door incentivizes congressional staffers to showcase their legislative skills to the lobbying market in ways that affect policymaking in Congress. Using comprehensive data on congressional staffers, we find that employing staffers who later become lobbyists is associated with higher legislative productivity for members of Congress, especially in staffers’ final terms in Congress. It also is associated with increases in a member’s bill sponsorship in the areas of health and commerce, the topics most frequently addressed by clients in the lobbying industry, as well as granting more access to lobbying firms. These results provide the systematic empirical evidence of pre-exit effects of the revolving-door among congressional staff.

Homeowners and renters have participated in politics at different rates throughout American history, but does becoming a property owner motivate an individual to participate in local politics? I combine deed-level property records in California and Texas with an original dataset on individual comments in local city council meetings to study the role of property ownership in shaping costly forms of political behavior, and I document large inequalities in who participates at city council meetings. I also link property records to individual-level contribution records and administrative voter files and find that becoming a property owner increases an individual’s political activity. Over and above voting in local elections, property ownership motivates individuals to participate in local city council meetings and donate to candidates. These findings illustrate how the experience of homeownership leads property owners to become much more active in local politics.

This manuscript helps to resolve the ongoing debate concerning the effect of information communication technology on human rights monitoring. We reconceptualize human rights as a taxonomy of nested rights that are judged in textual reports and argue that the increasing density of available information should manifest in deeper taxonomies of human rights. With a new automated system, using supervised learning algorithms, we are able to extract the implicit taxonomies of rights that were judged in texts by the US State Department, Amnesty International, and Human Rights Watch over time. Our analysis provides new, clear evidence of change in the structure of these taxonomies as well as in the attention to specific rights and the sharpness of distinctions between rights. Our findings bridge the natural language processing and human rights communities and allow a deeper understanding of how changes in technology have affected the recording of human rights over time.

We develop and validate a novel experimental design that builds a bridge between experimental research on the theory of spatial voting and the literature on measuring policy positions from text. Our design utilizes established text-scaling techniques and their corresponding coding schemes to communicate candidates’ numerical policy positions via verbal policy statements. This design allows researchers to investigate the relationship between candidates’ policy stances and voter choice in a purely text-based context. We validate our approach with an online survey experiment. Our results generalize previous findings in the literature and show that proximity considerations are empirically prevalent in purely text-based issue framing scenarios. The design we develop is broad and portable, and we discuss how it adds to current experimental designs, as well as suggest several implications and possible routes for future research.

Delegation to independent agencies can reap real benefits for policy-making. In the case of monetary policy, it shores up the credibility of the central bank. However, the discretion of IAs needs to be constrained to ensure their legitimacy. This letter focuses on one potential constraint, namely, the idea that IAs should not make choices on distributional trade-offs. Given that monetary policy today has significant distributive consequences, if this constraint were respected, the independence of central banks would have to be repealed. This would be just as undesirable as a monetary policy whose distributive consequences remain unchecked. Instead, this letter encourages the search for alternative solutions and puts forward three possible institutional arrangements to manage the tension between the distributive consequences of monetary policy on the one hand and central bank legitimacy on the other.

Does political affirmative action undermine or promote development? We present the first systematic analysis of Scheduled Areas in India, home to 100 million citizens, where local political office is reserved for the historically disadvantaged Scheduled Tribes. A newly constructed dataset of 217,000 villages allows us to probe conflicting hypotheses on the implementation of the world’s largest workfare program, the National Rural Employment Guarantee Scheme. We find that reservations deliver no worse overall outcomes, that there are large gains for targeted minorities, and that these gains come at the cost of the relatively privileged, not other minorities. We also find improvements in other pro-poor programs, including a rural roads program and general public goods. Reservations more closely align benefits to each group’s population share, allaying concerns of overcompensation for inequalities. Contrary to the expectations of skeptics, results indicate that affirmative action can redistribute both political and economic power without hindering overall development.

Plato’s treatments of women are perplexing because they seem to justify both gender equality and female subordination. Faced with evidence of both, scholars typically ask whether Plato promotes gender equality or patriarchy rather than what a particular treatment of women means in the dialogue to which it belongs. This article seeks to clarify Plato’s treatment of women by focusing on women’s education in the Laws and analyzing it in the context of his Athenian Stranger’s attempt at rational political reform. It argues that in exploring the differences between men and women, Plato shows them to be ones of degree rather than kind and identifies a common human weakness shared by both genders that is the greatest obstacle to his reform. This approach reveals a profound examination of a human problem and an instructive account of the challenges that accompany the quest for gender equality.

In ordinary language, people often treat emotion as the opposite of reason. Deliberative democrats, however, typically use “reason” in a rather different way. They regard arbitrary power, not emotion, as the opposite of reason. Emotion, then, is not at all contrary to reason. Critics who rely on ordinary language to claim that deliberative democrats denigrate emotion are likely to misconstrue how both reason and emotion are deployed. In fact, most deliberative democrats have always assigned emotion an indispensable role in their theories. That said, emotion’s role in deliberation needs more, and more systematic, elaboration. I identify twelve distinct roles for emotion in deliberative theory and practice, clearing the way for a more fruitful research agenda on the role of emotion in democratic deliberation.

Why have decades of high and rising inequality in the United States not increased public support for redistribution? An established theory in political science holds that Americans’ distrust of government decreases their support for redistribution, but empirical support draws primarily on regression analyses of national surveys. I discuss the untestable assumptions required for identification with regression modeling and propose an alternative design that uses randomized experiments about political corruption to identify the effect of trust in government on support for redistribution under weaker assumptions. I apply this to three survey experiments and estimate the effects that large, experimentally induced increases in political trust have on support for redistribution. Contrary to theoretical predictions, estimated effects are substantively negligible, statistically indistinguishable from zero, and comparable to estimates from two placebo experiments. I discuss implications for theory building about causes of support for redistribution in an era of rising inequality and eroding confidence in government.

Autocrats confront a number of threats to their power, some from within the regime and others from foreign actors. To understand how these threats interact and affect autocratic survival, we build a model where an autocratic leader can be ousted by a domestic opposition and a foreign actor. We concentrate on the impact that foreign threats have on the stability of autocratic leadership and show that the presence of foreign threats increases the probability an autocrat retains power. Focusing on two cases, one where a foreign actor and the domestic opposition have aligned interests and one where their interests are misaligned, we elucidate two distinct mechanisms. First, when interests are aligned, autocrats are compelled to increase domestic security to alleviate international pressure. Second, when interests are misaligned, autocrats exploit the downstream threat of foreign intervention to deter domestic threats. We also show that autocrats have incentives to cultivate ideological views hostile to broader interests among politically influential domestic actors.

Delegation of powers represents a grant of authority by politicians to one or more agents whose powers are determined by the conditions in enabling statutes. Extant empirical studies of this problem have relied on labor-intensive content analysis that ultimately restricts our knowledge of how delegation has responded to politics and institutional change in recent years. We present a machine learning approach to the empirical estimation of authority and constraint in European Union (EU) legislation, and demonstrate its ability to accurately generate the same discretionary measures used in an original study directly using all EU directives and regulations enacted between 1958–2017. We assess validity by training our classifier on a random sample of only 10% of hand-coded provisions and replicating an important substantive finding. While our principal interest lies in delegation, our method is extensible to any context in which human coding has been profitably produced.