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Elections, ability, and candidate honesty

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  • Woon, Jonathan
  • Kanthak, Kristin

Abstract

An important function of elections is to select the best representative, a task facilitated when candidates are honest about their qualifications. But are they? To what extent do candidates’ claims depend on the alignment of incentives between themselves and voters? We conduct an incentivized laboratory experiment in which candidates can choose to be honest or to exaggerate, varying the benefits of winning office. We find that strong office motives clearly induce exaggeration and, surprisingly, that only about half of laboratory candidates tell the truth even when incentives are completely aligned. We show that the prevalence of lying in elections results not from impure (e.g., Machiavellian) motives, but rather as a rational response to the expectation that other candidates will lie. Although honesty and integrity are desirable virtues in elected officials, our experiment suggests that the nature of electoral processes can make dishonesty endemic to the democratic selection of leaders.

Suggested Citation

  • Woon, Jonathan & Kanthak, Kristin, 2019. "Elections, ability, and candidate honesty," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 735-753.
  • Handle: RePEc:eee:jeborg:v:157:y:2019:i:c:p:735-753
    DOI: 10.1016/j.jebo.2018.11.003
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    Cited by:

    1. Burdea, Valeria & Woon, Jonathan, 2022. "Online belief elicitation methods," Journal of Economic Psychology, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    Elections; Political selection; Campaigning; Lying; Belief elicitation; Laboratory experiment;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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