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Perceptions, Intentions, and Cheating

Author

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  • Li Hao

    (Department of Economics, University of Arkansas, Fayetteville)

  • Daniel Houser

    (Interdisciplinary Center for Economic Science and Department of Economics, George Mason University)

Abstract

We report data from a laboratory experiment demonstrating that cheating is significantly deterred when a possible intent to cheat must be revealed before, rather than after, a potentially dishonest act. Further, data from independent evaluators suggests a reason: the same action is more likely to be perceived as dishonest when cheating could have been planned, as compared to cases when it seems simply impulsive. Overall, we find the vast majority of participants prefer to appear honest, but only a minority prefers actually to be honest. Finally, we conduct a type-classification analysis that implies that after establishing an honest appearance people cheat to the greatest extent possible. It follows that the “incomplete cheating†behavior frequently reported in the literature may be due more to a preference for maintaining an honest appearance than an intrinsic aversion to cheating. Length: 43

Suggested Citation

  • Li Hao & Daniel Houser, 2013. "Perceptions, Intentions, and Cheating," Working Papers 1039, George Mason University, Interdisciplinary Center for Economic Science, revised Feb 2013.
    • Handle: RePEc:gms:wpaper:1039
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    Cited by:

    1. Reuben, Ernesto & Traxler, Christian & van Winden, Frans, 2015. "Advocacy and political convergence under preference uncertainty," European Economic Review, Elsevier, vol. 79(C), pages 16-36.
    2. Bolton, Gary & Dimant, Eugen & Schmidt, Ulrich, 2021. "Observability and social image: On the robustness and fragility of reciprocity," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 946-964.
    3. Daniel Houser & John List & Marco Piovesan & Anya Samek & Joachim Winter, 2015. "On the Origins of Dishonesty: from Parents to Children," Artefactual Field Experiments 00449, The Field Experiments Website.
    4. Bradley J. Ruffle & Yossef Tobol, 2017. "Clever enough to tell the truth," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 130-155, March.
    5. Dimant, Eugen & van Kleef, Gerben A. & Shalvi, Shaul, 2020. "Requiem for a Nudge: Framing effects in nudging honesty," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 247-266.
    6. Houser, Daniel & List, John A. & Piovesan, Marco & Samek, Anya & Winter, Joachim, 2016. "Dishonesty: From parents to children," European Economic Review, Elsevier, vol. 82(C), pages 242-254.
    7. Sooter, Nina M. & Brandon, Rajna Gibson & Ugazio, Giuseppe, 2024. "Honesty is predicted by moral values and economic incentives but is unaffected by acute stress," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    8. Zhixin Dai & Fabio Galeotti & Marie Claire Villeval, 2018. "Cheating in the Lab Predicts Fraud in the Field: An Experiment in Public Transportation," Management Science, INFORMS, vol. 64(3), pages 1081-1100, March.
    9. Pate, Jennifer, 2018. "Temptation and cheating behavior: Experimental evidence," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 135-148.
    10. Hongli Feng & Tong Wang & David A. Hennessy & Gaurav Arora, 2022. "Over-Perception about Land Use Changes: Assessing Empirical Evidence and Linkage with Decisions and Motivated Beliefs," Land Economics, University of Wisconsin Press, vol. 98(2), pages 254-273.
    11. Johannes Abeler & Daniele Nosenzo & Collin Raymond, 2019. "Preferences for Truth‐Telling," Econometrica, Econometric Society, vol. 87(4), pages 1115-1153, July.
    12. Pamela R. Murphy & Michael Wynes & Till‐Arne Hahn & Patricia G. Devine, 2020. "Why Are People Honest? Internal and External Motivations to Report Honestly†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 945-981, June.
    13. Mary L. Rigdon & Alexander P. D'Esterre, 2015. "The effects of competition on the nature of cheating behavior," Southern Economic Journal, John Wiley & Sons, vol. 81(4), pages 1012-1024, April.
    14. Ruffle, Bradley J. & Tobol, Yossef, 2014. "Honest on Mondays: Honesty and the temporal separation between decisions and payoffs," European Economic Review, Elsevier, vol. 65(C), pages 126-135.
    15. Maggioni, Mario A. & Rossignoli, Domenico, 2020. "Clever little lies: Math performance and cheating in primary schools in Congo," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 380-400.
    16. Catrine Jacobsen & Toke Reinholt Fosgaard & David Pascual†Ezama, 2018. "Why Do We Lie? A Practical Guide To The Dishonesty Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 357-387, April.
    17. Jacobsen, Catrine & Piovesan, Marco, 2016. "Tax me if you can: An artifactual field experiment on dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 7-14.
    18. repec:grz:wpsses:2017-01 is not listed on IDEAS
    19. Gary Charness & Celia Blanco-Jimenez & Lara Ezquerra & Ismael Rodriguez-Lara, 2019. "Cheating, incentives, and money manipulation," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 155-177, March.
    20. Claire Mouminoux, 2023. "Can misfortune lead to dishonesty?," Rationality and Society, , vol. 35(3), pages 293-310, August.
    21. Capra, C. Mónica & Jiang, Bing & Su, Yuxin, 2024. "Green self-image boosts online volunteering for environmental causes: Experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    22. Maussen, Sophie & Cardinaels, Eddy & Hoozée, Sophie, 2024. "Costing system design and honesty in managerial reporting: An experimental examination of multi-agent budget and capacity reporting," Accounting, Organizations and Society, Elsevier, vol. 112(C).
    23. Denvil Duncan & Danyang Li, 2018. "Liar Liar: Experimental Evidence of the Effect of Confirmation‐Reports on Dishonesty," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 742-770, January.

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    More about this item

    Keywords

    cheating; honest appearance; partial cheating; experimental design;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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