Polls from the Middle East/North Africa show high support for democracy. However, the veracity of this support has been called into question. This study uses a conjoint analysis to show that citizens support democratic institutions, as well as favoring an effective welfare state and a state religion. The results demonstrate that support for elected governance is not contingent on the state's providing economic benefits; citizens are more likely to favor participatory government at each level of economic outcome. Interest in incorporating religion in the state, however, is contingent on the political and economic profile described; the contingent effects suggest interest in Islamic governance is, at least partly, instrumental. Although pro-democracy public opinion alone does not secure democratization, it creates fertile ground for future democratization movements.

Discussions of terrorism assume actual or threatened violence, but the term is regularly used to delegitimize rivals' nonviolent actions. Yet do ordinary citizens accept descriptions of nonviolence as terrorism? Using a preregistered survey-experiment in Israel, a salient conflictual context with diverse repertoires of contention, we find that audiences rate adversary nonviolence close to terrorism, consider it illegitimate, and justify its forceful repression. These perceptions vary by the action's threatened harm, its salience, and respondents' ideology. Explicitly labeling nonviolence as terrorism, moreover, particularly sways middle-of-the-road centrists. These relationships replicate in a lower-salience conflict, albeit with milder absolute judgments, indicating generalizability. Hence, popular perceptions of terrorism are more fluid and manipulable than assumed, potentially undermining the positive effects associated with nonviolent campaigns.

What drives voters' perceptions of partisan cooperation? In this note, we investigate whether voters have accurate beliefs about which parties regularly cooperate with one another, and whether these beliefs follow the real-time portrait of cooperation and conflict between parties that is reported in the news. We combine original survey data of voters' perceptions of party cooperation in four countries over two time periods with a measure of parties' public relationships as reported by the media. We find that voters' perceptions of cooperation and conflict among parties do reflect actual patterns of interactions. This pattern holds even after controlling for policy differences between parties as well as joint cabinet membership. Furthermore, we show that the impact of contemporary events on cooperation perceptions is most pronounced for voters who monitor the political news more carefully. Our findings have important implications for partisan cooperation and mass–elite linkages. Specifically, we find that contrary to the usual finding that voters are generally uninformed about politics, voters hold broadly accurate beliefs about the patterns of partisan cooperation, and importantly, these views track changes in relevant news. This reflects positively on the masses' capacities to infer parties' behaviors.

Oil discoveries, paired with delays in production, have created a new phenomenon: sustained post-discovery, pre-production periods. While research on the resource curse has debated the effects of oil on governance and conflict, less is known about the political effects of oil discoveries absent production. Using comprehensive electoral data from Uganda and a difference-in-differences design with heterogeneous effects, we show that oil discoveries increased electoral support for the incumbent chief executive in localities proximate to discoveries, even prior to production. Moreover, the biggest effects occurred in localities that were historically most electorally competitive. Overall, we show that the political effects of oil discoveries vary subnationally depending on local political context and prior to production, with important implications for understanding the roots of the political and conflict curses.

This paper proposes a framework of immigrant acceptance that accounts for both group-level and individual-level characteristics and conducts a novel test of the cultural threat hypothesis. Immigrants’ individual traits are conceptualized as secondary to their identity-based claims. The empirical strategy leverages a set of survey experiments conducted in the extreme rentier state of Qatar, where naturalization poses tangible negative financial consequences for citizens by expanding the pool of government welfare beneficiaries. Findings demonstrate that citizens are willing to share citizenship with a narrow ethnic in-group while individual cultural and economic attributes are lower-order determinants influencing economically vulnerable citizens. Importantly, answers to direct survey measures are at odds with these findings, demonstrating their susceptibility to social desirability bias.

Travel bans were a globally prevalent policy response to the COVID-19 pandemic. In the United States, travel bans against China and European countries proved a broadly popular mitigation tool among Americans. Why did Americans support COVID-19 travel bans? We fielded two novel survey experiments, surveying 3000 American citizens across five waves (between March 2020 and March 2021). In randomizing the country of origin of those potentially subject to travel ban measures, we find consistent evidence that racial attitudes drive support for travel bans. The strength of this relationship varies across political parties and across hypothetical target countries but is not explained by objective caseloads that change across countries and over the course of the pandemic.

In coalition governments, parties need to agree on a common policy position. Whose preferences prevail? The proportionality hypothesis, the idea that coalition partners’ influence on policy is proportional to their share of seats, has been used widely in the literature on democratic representation, ideological congruence, and coalition politics. In my analysis of competing theories aimed at determining what influences policy compromise in multiparty governments, I reject the proportionality hypothesis. My results suggest instead that coalition partners exert equal influence on policy compromises, independent of their number of seats. More extensive analysis also provides evidence for increased party influence on policies when the party is the formateur or closer to the parliamentary median, ceteris paribus. As a by-product of my analysis, I provide a simple and better proxy for measuring a government's position when this position is not directly observable.

This article explores the effects of social media on government accountability under authoritarian regimes. It examines whether online discussions have a disciplining effect on officials' scandals. We use a unique dataset containing records of scandals discussed on microblogs in China to systematically study their effects on the government response process and officials' disciplining. We find that the government employs clear strategies: higher levels of online discussion lead to quicker government responses and more severe punishment of the officials involved. Scandals involving sexual and economic factors, which initially capture more attention, involve quicker responses and more severe punishments. Even when we exploit rainfall as the instrumental variable to mitigate the endogeneity, the results are still robust. Our findings highlight the accountability mechanism facilitated by social media and the power of social media empowerment.

How do technocrat ministers affect governance under autocracy? Autocrats frequently appoint non-partisan actors with technical competencies to bureaucratic leadership roles. Though their competencies might predict positive performance in office, these ministers are also dependent on the regime for their position and should thus demonstrate loyalty to its interests. I test this in the context of horizontal accountability to the legislature, using data on more than 27,000 legislative requests submitted to ministries in Morocco. I use both exact matching and difference-in-differences analyses to show that technocrat ministers are more than 25 percentage points less likely to respond to legislative queries than partisan cabinet members. The results imply that outside (partisan) participation in government strengthens weak institutions of executive oversight. They also cast doubt on the presumption that technocrat participation in government is universally beneficial to governance.

Do the choices of city leaders matter for local economic conditions? While existing literature focuses on how the preferences of local officials influence city policy, we argue that the managerial skill of local leaders should condition their ability to achieve their goals. We conduct an original phone survey of over 300 mayors and city managers across the USA to learn about their management practices. Using a two-way fixed effects design that holds fixed a rich battery of individual and city-level characteristics, we examine how changes in leadership affect economic growth, a common goal for local officials. We find that when local leaders employ the “best practices” of organizational management, their cities grow across a range of indicators. These results are strongest for the subset of leaders who mention a growth-related goal for their time in office, suggesting that managerial skill allows local leaders to more effectively achieve their objectives.

In latent scaling applications, such as the positioning of political parties, differential item functioning (DIF) may occur because of measurement issues or because of substantive differences in the association between latent and manifest variables. While the first source of DIF has received considerable attention, the second has not, although it is of potential interest to comparative scholars. In this research note, we introduce a novel hierarchical Bayesian item response model that allows us to disentangle different sources of DIF. Drawing on the 2019 Chapel Hill Expert Survey (CHES), we highlight how the same issues are unequally politicized across Western Europe, and how some issues are less ideologically determined than others. Our model can be adapted to alternate settings, allowing researchers to shine a light on variation in, e.g., ideology, issue politicization, or party competition.

How do elected autocrats come to power? Prominent explanations point to distributive conflict. We propose instead that some candidates advertise democratic deconsolidation as “deepening democracy,” which can have cross-cutting appeal. We evaluate this proposal through the election of Venezuela's Hugo Chávez, an emblematic elected autocrat. Using original data, we find that historical voting patterns and political rhetoric are consistent with our proposal: Chávez came to power with the cross-class support of voters from across the traditional political spectrum, and his campaign emphasized rather than obscured his plan to remake political institutions.

Some work in political methodology recommends that applied researchers obtain point estimates of quantities of interest by simulating model coefficients, transforming these simulated coefficients into simulated quantities of interest, and then averaging the simulated quantities of interest (e.g., CLARIFY). But other work advises applied researchers to directly transform coefficient estimates to estimate quantities of interest. I point out that these two approaches are not interchangeable and examine their properties. I show that the simulation approach compounds the transformation-induced bias identified by Rainey (2017), adding bias with direction and magnitude similar to the transformation-induced bias. I refer to this easily avoided additional bias as “simulation-induced bias.” Even if researchers use simulation to estimate standard errors, they should directly transform maximum likelihood estimates of coefficient estimates to obtain point estimates of quantities of interest.

Political divisions in the lead-up to the 2020 US presidential election were large, leading many to worry that heighted partisan conflict was so stark that partisans were living in different worlds, divided even in their understanding of basic facts. Moreover, the nationalization of American politics is thought to weaken attention to state political concerns. 2020 therefore provides an excellent, if difficult, test case for the claim that individuals understand their state political environment in a meaningful way. Were individuals able to look beyond national rhetoric and the national environment to understand state-level electoral dynamics? We present new data showing that, in the aggregate, despite partisan differences in electoral expectations, Americans are aware of their state's likely political outcome, including whether it will be close. At the same time, because forecasting the overall election outcome is more difficult, Electoral College forecasts are much noisier and display persistent partisan difference in expectations that do not differ much with state of residence.

This paper estimates the effect of automatic voter registration (AVR) on voter turnout in California and Oregon. AVR systems register to vote all eligible individuals who transact with proscribed government agencies, most commonly the Department of Motor Vehicles (DMVs). The article isolates one part of the causal impact of AVR on turnout by taking advantage of a temporal feature of license renewals. Many individuals interact with the DMV periodically due to the need to renew drivers' licenses. Because licenses in both California and Oregon expire on birthdays, an individual's birth date can be treated as an exogenous variable discriminating between some individuals who are registered to vote in time for the election, while others are not. Our instrumental variable analysis compares registration and voting rates for individuals with birth dates prior and subsequent to the voter registration deadline. After calculating a causal effect of AVR on turnout at the individual level, we extrapolate this AVR “birthday” effect to overall voter turnout for these states.

I rely on data from 31,754 electoral districts in the United States from 1834 until 2016 to explore how the nationalization of politics occurs within districts. I argue that in the early stages of the American democracy local concerns were more prominent in the distant districts from the capital city than in the nearby districts, and therefore the number of parties was greater in the former than in the latter. However, these differences vanished after the New Deal, when authority was centralized. Nationalization reduced the number of parties everywhere, but above all in the most distant district from Washington, D.C.

Does technological change fuel political disruption? Drawing on fine-grained labor market data from Germany, this paper examines how technological change affects regional electorates. We first show that the well-known decline in manufacturing and routine jobs in regions with higher robot adoption or investment in information and communication technology (ICT) was more than compensated by parallel employment growth in the service sector and cognitive non-routine occupations. This change in the regional composition of the workforce has important political implications: Workers trained for these new sectors typically hold progressive political values and support progressive pro-system parties. Overall, this composition effect dominates the politically perilous direct effect of automation-induced substitution. As a result, technology-adopting regions are unlikely to turn into populist-authoritarian strongholds.

While a number of high-level figures around the world have been prosecuted and even jailed for corruption in recent years, we know little about how such anticorruption efforts shape public opinion and patterns of political engagement. To address this question, we examine evidence from Argentina and Costa Rica involving the unprecedented sentencing of two former Presidents on corruption charges. Exploiting the coincidence in timing between these cases and fieldwork on nationally representative surveys, we find that citizens interviewed in the aftermath of these events expressed lower trust in institutions and were less willing to vote or join in collective demonstrations. Overall, these findings suggest that high-profile efforts to punish corrupt actors may have similar effects as political scandals in shaping citizens’ relationship to the political system.

A pioneering study by Loewen et al. made use of the Canadian legislature's newly instituted lottery, which enabled non-cabinet Members of Parliament (MPs) to propose a bill or motion. Their study used this lottery in order to identify the causal effect of proposal power on incumbents' vote share in the next election. Analyzing the first two parliaments to use the lottery, Loewen et al. found that proposal power benefits incumbents, but only incumbents who belong to the governing party. Our study builds on these initial results by adding data from four subsequent parliaments. The pooled results no longer support the hypothesis that MPs—even those who belong to the governing party—benefit appreciably from proposal power. These updated findings resolve a theoretical puzzle noted by Loewen et al., as proposal power would not ordinarily be expected to confer electoral benefits in strong party systems, such as Canada's.