The coexistence of harsh disapproval of corruption and the limited electoral consequences of malfeasant behavior remains a conundrum in social sciences. While elections should be used to hold politicians accountable, evidence shows that voters only mildly punish corrupt politicians. This paper assesses the trade-off hypothesis, which suggests that voters forgive corrupt candidates when these candidates provide other valued outcomes. It distinguishes two possible factors against which integrity can be traded—partisanship and economic performance—and tests them in a multidimensional experiment. With the results of an original conjoint analysis, this paper provides compelling evidence for the relative importance of corruption when casting a vote and the mitigating effects of other valued candidate characteristics. Even when obtaining highly credible information, partisanship determines the vote to the same extent as corruption. Additionally, co-partisanship and a strong economic performance moderate the negative effect corruption has on the vote.
In recent electoral contests, political observers and media outlets increasingly report on the level of "authenticity" of political candidates. However, even though this term has become commonplace in political commentary, it has received little attention in empirical electoral research. In this study, we identify the characteristics that we argue make a politician "authentic". After theoretically discussing the different dimensions of this trait, we propose a survey battery aimed at measuring perceptions of the authenticity of political candidates.Testing our measure using data sets from different countries, we show that the answers to our items load on one latent concept that we call "authenticity". Furthermore, perceptions of candidate authenticity seem to correlate strongly with evaluations of political parties and leaders, and with vote intention, while they are empirically distinguishable from other traits.We conclude that candidate authenticity is an important trait that should be taken into account by future research.
Direct estimates based on election returns show that corruption is mildly punished at the polls. A large majority of survey respondents, however, often tend to state that they do not like corruption and will not support corrupt politicians. This has been interpreted as a product of social desirability bias: interviewees prefer to report socially accepted attitudes (rejection of corruption) instead of truthful responses (intention to vote for their preferred candidates regardless of malfeasance). We test to what extent this is the case by using a list experiment that allows interviewees to be questioned in an unobtrusive way, removing the possible effects of social desirability. Our results show that the great majority of respondents report intentions to electorally punish allegedly corrupt candidates even when asked in an unobtrusive way. We discuss the implications of this finding for the limited electoral accountability of corruption.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.