How does probabilistic harm affect dishonesty? An experiment

Štěpán Bahník and Marek Vranka

Finance Research Letters, 2023, vol. 58, issue PB

Abstract: Dishonest actions, while beneficial to perpetrators, can have significant negative effects on financial markets and organizations. The caused harm is, however, often unclear and unpredictable, possibly making dishonesty easier to justify. We conducted an experiment where participants could break a rule for increased rewards, potentially harming a third party. By manipulating the probability of harm while maintaining the size of expected harm constant, we explore how the probability of harm influences dishonesty. Contrary to expectations, our results suggest that the manipulation does not impact the dishonest behavior. These findings underscore the complexity of dishonest behavior in contexts relevant to finance.

Keywords: Dishonesty; Bribery; Experiment; Justification (search for similar items in EconPapers)
JEL-codes: C93 D91 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323007456

DOI: 10.1016/j.frl.2023.104373

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