How pervasive is partisan sorting and polarization over public policies in the American public? We examine whether the barriers of partisan sorting and polarization seen in national politics extend to important local policies that shape economic development. To describe the extent of partisan sorting and polarization over local development policies, we employ conjoint survey experiments in representative surveys of eight US metropolitan areas and a hierarchical modeling strategy for studying heterogeneity across respondents. We find that strong partisans are sorted by party in some of their policy opinions, but rarely polarized. The same voters who disagree about national issues have similar preferences about local development issues suggesting a greater scope for bipartisan problem solving at the local level.

Where do partisans get their election news in the contemporary media environment? We track the online news consumption of a national sample during the 2016 presidential campaign. We find levels of partisan isolation in news exposure are two to three times greater than in prior studies, although the absolute level of isolation remains modest. The partisan divide for election-related news exceeds the divide for non-political news. This tendency of partisans to follow like-minded news providers occurs despite the relatively small differences in the partisan slant of the content offered by the majority of sources they visited. Finally, we find that partisans who gravitated to congenial news providers did not shift their evaluations of the presidential candidates during the campaign.

A growing literature has argued that electoral turnout decreases the more government policy constrained by economic and institutional factors. This paper investigates whether a certain type of policy constraint, fiscal rules, lowers turnout. Since fiscal rules set limits for government fiscal policy, they should lower the incentive for citizens to participate electorally. However, using parliamentary turnout data in a large panel of democratic countries, little robust evidence is found in favor of fiscal rules having a depressing effect on electoral turnout. Analysis of European individual-level data also suggests that national fiscal rules do not affect inequality in electoral turnout between income groups either. Difference-in-discontinuity evidence from Italian municipalities further suggests that the results are causally identified.

This study analyzes how migrants affect their host country's foreign policy toward their home country by measuring their influence on bilateral emergency aid. I develop the argument that besides political lobbying and the targeting of aid by the donor country, migrants affect emergency aid by providing a linkage between the countries and increasing the salience of a disaster abroad. The empirical analysis shows that the location and size of a country's diaspora is an important predictor of emergency aid flows after natural disasters. Interaction effects provide support for the linkage argument: while the diaspora effect does not increase with the host country's level of democracy, it is strongest with the least severe and most distant disasters.

Existing research has found that American politicians benefit from trying to attract investment and creates jobs. In this paper, we build on this work by describing the drivers of Americans' attitudes toward inward foreign investment (FDI). We posit that foreign and Chinese investment are different than domestic investment in the public imagination and that nationalism and proximity to deindustrialization interact to shape public opinion about them. We propose and test two theories of this interaction using a survey experiment that randomizes whether a respondent is responding to a statement about “business investment,” “foreign business investment,” or “Chinese business investment”. We find that (1) Americans are skeptical of business investments by Chinese, and, to lesser degree, “foreign” firms; (2) the gap in enthusiasm for generic business investment and foreign/Chinese business investment rises with local trade-related job losses; and (3) the distinction between nationalists' and non-nationalists' attitudes toward FDI declines in local job losses.

Cognitively demanding electoral systems increase the chance that voters make their choices based on politically irrelevant cues. To illustrate this argument, I analyze the effect of candidate name complexity—a visual cue that contains no politically meaningful information—in Japan, where voters need to write their preferred candidate's name on a blank ballot paper. I find that when electoral systems require voters to weigh a large number of candidates and simultaneously reduce the usefulness of partisan cues, candidates with more complex names tend to receive lower vote shares. By contrast, under less cognitively demanding systems, candidate name complexity has no effect on election outcomes. These findings have important implications for the debate on the “best” electoral system design.

We use nationwide deed-level records on home foreclosures to examine the effects of economic distress on electoral outcomes and individual voter turnout. County-level difference-in-differences estimates show that counties that suffered larger increases in foreclosures did not punish or reward members of the incumbent president's party more than less affected counties. Linking the Ohio voter file to individual foreclosures, difference-in-differences estimates show that individuals whose homes were foreclosed on were less likely to turn out, rather than being mobilized. However, in 2016 counties more exposed to foreclosures supported Trump at substantially higher rates. Taken together, the evidence suggests that the effect of local economic distress on incumbent performance is generally close to zero and only becomes substantial in unusual circumstances.

During the political process, the electorate needs to determine the competence of the government by both observing its policy decisions and acquiring information from the media. However, media reports are often criticized for not being independent and truthful. This paper discusses whether the public can determine the quality of a government from media reports. In other words, are media outlets more likely to act as watchdogs or just as “yes men” to the government? This paper argues that, because of reputational concerns, the media usually avoid criticizing the government. The media only report truthfully when the expected competence of the government is sufficiently low and the probability for the voter to learn from other information sources is sufficiently high. Otherwise, media outlets—especially low-quality outlets—will pander to the government in their reporting. Policy bias or media capture is not required for the yes-man problem to prevail.

Existing research on the revolving door examines why employers hire former politicians. I complement this demand-side approach by demonstrating the importance of the supply-side. In particular, I argue that one important institutional factor that shapes politicians' willingness to leave office for a private sector job is campaign finance legislation. Less restrictive rules increase campaign spending for incumbents, which makes revolving door employment less attractive. Empirically, I use novel data from the US states and a difference-in-differences design to show that the exogenous removal of campaign finance legislation through Citizens United reduced the probability that incumbents left office to work as lobbyists. The supply-side approach provides insights into comparative differences in the prevalence of the revolving door.

Interactions between units in political systems often occur across multiple relational contexts. These relational systems feature interdependencies that result in inferential shortcomings and poorly-fitting models when ignored. General advancements in inferential network analysis have improved our ability to understand relational systems featuring interdependence, but developments specific to working with interdependence that cross relational contexts remain sparse. In this paper, I introduce a multilayer network approach to modeling systems comprising multiple relations using the exponential random graph model. In two substantive applications, the first a policy communication network and the second a global conflict network, I demonstrate that the multilayer approach affords inferential leverage and produces models that better fit observed data.

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.

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.

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.

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.

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.