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The effect of pledges on the distribution of lying behavior: An online experiment

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  • Heinicke, Franziska
  • Rosenkranz, Stephanie
  • Weitzel, Utz

Abstract

Reminding people to behave honestly or asking them to actively commit to honest behavior is an easily implementable intervention to reduce dishonesty. Earlier research has shown that such truth pledges affect lying behavior on a group level. In this study we are analyzing how a truth pledge changes the distribution of lying types which have been established in the literature, i.e. truth tellers, partial liars and extreme liars, to better understand whether truth pledges can affect the decision to lie or merely the extent of lies. For this purpose, we conduct a 2 × 2 experiment with 484 participants in which we apply a truth pledge in a gain and a loss frame. We introduce a novel “Even-Odd task” for online lying experiments, which is based on the well-established coin-toss design. The Even-Odd task takes into account that unbiased, physical randomization devices are not always available in online settings, which can be a problem for truth-tellers if they are bad mental randomizers. We therefore ask participants to think of privately known numbers (house numbers, phone numbers) and then determine randomly whether even or uneven numbers result in the higher payment. We find that the truth pledge significantly reduces lying but also that this effect is strongest for extreme liars. The uneven shift in the distribution of liars suggests that truth pledges are effective in decreasing the size of lies but not the number of lies told. This result is robust for both frames.

Suggested Citation

  • Heinicke, Franziska & Rosenkranz, Stephanie & Weitzel, Utz, 2019. "The effect of pledges on the distribution of lying behavior: An online experiment," Journal of Economic Psychology, Elsevier, vol. 73(C), pages 136-151.
  • Handle: RePEc:eee:joepsy:v:73:y:2019:i:c:p:136-151
    DOI: 10.1016/j.joep.2019.05.006
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    Cited by:

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    2. Clot, Sophie & Grolleau, Gilles & Ibanez, Lisette, 2022. "A reference point bias in judging cheaters," Journal of Economic Psychology, Elsevier, vol. 89(C).
    3. Chapkovski, Philipp, 2022. "Unintended consequences of corruption indices: an experimental approach," MPRA Paper 112598, University Library of Munich, Germany.
    4. Sorravich Kingsuwankul & Chloe Tergiman & Marie Claire Villeval, 2023. "Why do oaths work? Image concerns and credibility in promise keeping," Working Papers hal-04209489, HAL.
    5. Le Maux, Benoît & Necker, Sarah, 2023. "Honesty nudges: Effect varies with content but not with timing," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 433-456.
    6. Caliari, Daniele & Soraperra, Ivan, 2023. "Planning to cheat: Temptation and self-control," Discussion Papers, Research Unit: Market Behavior SP II 2023-205, WZB Berlin Social Science Center.
    7. repec:cup:judgdm:v:15:y:2020:i:4:p:600-610 is not listed on IDEAS
    8. Hermann, Daniel & Brenig, Mattheus, 2022. "Dishonest online: A distinction between observable and unobservable lying," Journal of Economic Psychology, Elsevier, vol. 90(C).
    9. Christoph Schild & Morten Moshagen & Karolina A. Ścigała & Ingo Zettler, 2020. "May the odds — or your personality — be in your favor: Probability of observing a favorable outcome, Honesty-Humility, and dishonest behavior," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(4), pages 600-610, July.
    10. Akin, Zafer, 2022. "Playing the victim behavior: an experimental study," MPRA Paper 115532, University Library of Munich, Germany.

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    More about this item

    Keywords

    Lying; Truth pledge; Extreme liars; Loss aversion; Online experiment;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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