Fighting corruption is a vital aspect of good governance. When assessing government performance voters should thus withdraw electoral support from government parties that turn a blind eye to or even engage in corrupt practices. Whereas most accounts of performance-based voting focus on economic outcomes, we analyse whether and to what extent voters punish incumbents for high levels of corruption. Using data from the Comparative Study of Electoral Systems, we find that while voters perceiving high levels of corruption punish incumbents, corruption performance voting depends on individual-level attributes and the electoral context: it is most likely for non-partisans, for voters who believe that government turnover will bring about change, and in systems where corruption is a salient issue. Yet, corruption performance voting is not moderated by the clarity of political responsibility. Studying these conditions helps us to understand why corruption is more persistent in some contexts than in others.
Information processing during heated debates on asylum and immigration may often be influenced by prejudice rather than a desire to learn facts. In this article, we investigate how people process empirical evidence on the consequences of refugee arrivals through a novel survey experiment that disentangles politically motivated learning from other forms of learning and expressive responding. Specifically, we ask respondents to interpret a 2×2 table about the relationship between asylum seekers and crime rates. Crucially, respondents are randomly allocated to evaluate a conclusion that triggers their identity-protective stakes or not. In addition, we test for motivated responding as an alternative explanation by randomly providing some respondents with a response format that motivates them to report their inference truthfully. We find that information processing changes substantially when new information challenges existing asylum attitudes. Politically motivated learning is strongest among voters with strong negative prior attitudes towards asylum seekers. Our results also indicate that expressive responding can only partially account for this gap in correctly reported inferences. Our research has important implications for research on the consequences of refugee migration, theories of motivated reasoning, and survey methodology.
When Members of Parliament (MPs) disagree publicly with their party, this provides a signal to voters regarding both their political views and their character valence. We argue that the strength of this signal to voters depends on the personal career costs an MP incurs by dissenting. The greater the perceived costs of dissent to the MP, the more positively voters should react to dissent. In line with this theory, we use a series of conjoint analysis experiments in Britain, Germany, and Austria to show that: (1) dissent has a more positive effect on voter evaluations in systems where the costs of dissent are higher, and (2) more costly types of dissent have a greater impact on voter evaluations. These findings have important implications for understanding how voter evaluations of MPs depend on beliefs about parliamentary systems and how parliamentary institutions condition the link between voters and MPs.
The chapter investigates the influence of changing candidate orientations on the probability to switch votes away from or toward a party between the German federal elections of 2013 and 2017. While both electoral volatility and candidate voting are considered potential consequences of an increasing partisan dealignment in Western democracies, there is still a debate about the link between these two phenomena. Employing data from an inter- and intra-election panel survey, the chapter suggests an influence of changing candidate orientations on vote switching independent of partisan attachments and other determinants of vote switching. An improvement in the evaluation of the candidate of the party a person voted for in 2013 decreased the probability of switching to another party in 2017. Likewise, viewing the candidate of the party a person voted for in 2017 more favorably than his/her predecessor was associated with a higher probability to have switched to this party.
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