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.

Does a universal basic income (UBI) affect voter turnout? This article argues that the introduction of an unconditional cash payment—where citizens receive money independent of employment status, age, or indigence—can have a turnout-enhancing effect. I evaluate the argument using the introduction of the Permanent Fund Dividend in Alaska. Differences-in-differences estimates covering November general elections from 1978 to 2000 provide compelling evidence that the Alaskan UBI has a significant positive effect on turnout. The results further suggest that the turnout increase was not a one-off effect but persists over a period of almost 20 years. Thus, a UBI has the potential to positively affect turnout among an entire electorate, adding to the discussion around potential welfare reforms in western democracies.

Political scientists often use measures such as the Brief Implicit Association Test (BIAT) and the Affect Misattribution Procedure (AMP) to gauge hidden or subconscious racial prejudice. However, the validity of these measures has been contested. Using data from the 2008–2009 ANES panel study—the only study we are aware of in which a high-quality, nationally representative sample of respondents took both implicit tests—we show that: (1) although political scientists use the BIAT and the AMP to measure the same thing, the relationship between them is substantively indistinguishable from zero; (2) both measures classify an unlikely proportion of whites as more favorable toward Black Americans than white Americans; and (3) substantial numbers of whites that either measure classifies as free of prejudice openly endorse anti-Black stereotypes. These results have important implications for the use of implicit measures to study racial prejudice in political science.

In this note, we provide direct evidence of cheating in online assessments of political knowledge. We combine survey responses with web tracking data of a German and a US online panel to assess whether people turn to external sources for answers. We observe item-level prevalence rates of cheating that range from 0 to 12 percent depending on question type and difficulty, and find that 23 percent of respondents engage in cheating at least once across waves. In the US panel, which employed a commitment pledge, we observe cheating behavior among less than 1 percent of respondents. We find robust respondent- and item-level characteristics associated with cheating. However, item-level instances of cheating are rare events; as such, they are difficult to predict and correct for without tracking data. Even so, our analyses comparing naive and cheating-corrected measures of political knowledge provide evidence that cheating does not substantially distort inferences.

Despite the substantial body of research on compulsory voting's (CV) relationship with turnout, much remains unknown about the role of different types of CV rules, their enforcement, and their ability to prevent the secular turnout decline observed around the world. Moreover, existing studies that leverage changes to CV laws are limited to a single country. We assemble rich new data on voter turnout and electoral legislation that, we believe, include the most accurate and extensive cross-national measure of CV to date. We test three theoretically derived hypotheses: that CV enforcement matters for participation; that enforcement's effect is conditioned by state capacity; and that, only when CV is enforced, will it mitigate voter turnout's post-1970 tendency to decline. We find support for each. We also find that the nature of sanctions for non-voting is irrelevant for participation.

What allows autocratic political elites to coordinate with each other and check dictators? Earlier work assumes that elite coordination becomes easier as dictators share more power. I argue that, even when power-sharing is pervasive, a lack of cohesiveness can rob regime members of their influence over dictators. Conflicting interests can leave seemingly powerful elites unable to agree on when or how to challenge the dictator. I develop a measure of elite collective action based on this framework. It documents not only how much power elites have, but also the obstacles they would need to resolve to work together. In doing so, it better describes the relationship between autocrats and their ruling coalition, and its added nuance allows it to recover findings that current measures miss. By paying closer attention to the cohesion of autocratic elites, this paper explains why some dictators can rule tyrannically without retribution, and why weaker elites can still constrain powerful autocrats.

How does public diplomacy shape global public opinion? In this note, we theorize that positive public diplomacy that emphasizes aid and friendship works, while negative messages that criticize international rivals are ineffective. We conduct an experiment, to our knowledge the first of its kind, that randomly exposes Indian citizens to real Twitter messages from Chinese diplomats. We find that positive messages emphasizing aid and friendship improve perceptions of China, even in times of escalating violent conflict. However, messages from so-called “Wolf Warrior” diplomats that harshly criticize the United States are ineffective and can backfire in times of crisis. We argue public diplomacy can be a useful tool for global powers, but that domestic political pressures have pushed some diplomats, like China's Wolf Warriors, toward nationalist messages that do not appeal to foreign audiences.

Economic and health crises have profound political consequences for public support for social policy, historically setting in motion a massive expansion of governmental programs. Is demand for social protection likely to increase among citizens exposed to risk in an era in which populist messages are prominent? We show that this depends critically on the precise targets that populists evoke as enemies of the people. We distinguish between two types of political rhetoric deployed by populist politicians in their claims to represent the authentic people—one opposing the authority of domestic elites, including technocrats, and one attacking foreigners. We examine the extent to which each rhetorical strategy reduces or enhances popular demand for social policies by randomly exposing Americans to these frames as part of a public opinion survey conducted during the Covid-19 pandemic. Our results show that the two messages have different consequences for support for redistribution among respondents exposed to risk: populist anti-foreign rhetoric that blames foreign countries for the onset of the pandemic increases demand for expansion of social protection compared to populist anti-elite rhetoric.

Governments can grant political concessions to induce quasi-voluntary compliance with taxation, yet empirical evidence probing the taxation–representation connection remains inconclusive. We contend that this association remains valid but it is primarily confined to business elites in nondemocratic regimes because the same wealth that exposes them to state predation also incentivizes them to endorse tax policies that offer greater political representation. We test our argument by evaluating preferences for hypothetical tax reforms in separate samples of business elites and ordinary citizens in China. We find that business elites show stronger preference than nonelites for tax policies that include advances in political representation. We explore various mechanisms for our results and find support for government credibility, tax ownership, and tax salience considerations.

How do politicians distribute government resources in regimes with no electoral considerations? We propose that new politicians minimize political risks by favoring politically important actors: state-owned enterprises (SOEs), but they adjust their behavior as they establish personal ties with private businesses. Using firm-level subsidies data after the 2008 stimulus in China, we find that new provincial governors, immediately after taking office, distribute a significantly larger proportion of subsidies to SOEs relative to private firms. The effect attenuates as new governors learn about local conditions and establish connections with private firms. We find suggestive evidence that governors who adopt such a strategy are more likely to be promoted. Contrary to conventional wisdom that the state always favors state-owned firms, we show that SOEs benefit from the stimulus package only in the short-run.

What are the electoral consequences of urban riots? We argue that riots highlight the economic and social problems suffered by those who participate, inducing potential electoral allies to mobilize. These allies can then punish local incumbents at the ballot box. We test this hypothesis with fine-grained geographic data that capture how exposure to the 2011 London riots changed vote choices in the subsequent 2012 mayoral election. We find that physical proximity to both riot locations and the homes of rioters raised turnout and reduced the vote for the incumbent Conservative mayor. These results are partly driven by a change in the turnout and vote choices of white residents. This provides support for the view that riots can help shift votes against incumbents who oppose the implied policy goals of rioters.

The papers in this symposium use Monte Carlo simulations to demonstrate the consequences of estimating time series models with variables that are of different orders of integration. In this summary, I do the following: very briefly outline what we learn from the papers; identify an apparent contradiction that might increase, rather than decrease, confusion around the concept of a balanced time series model; suggest a resolution; and identify a few areas of research that could further increase our understanding of how variables with different dynamics might be combined. In doing these things, I suggest there is still a lack of clarity around how a research practitioner demonstrates balance, and demonstrates what Pickup and Kellstedt (2021) call I(0) balance.