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Loss Aversion and Lying Behavior: Theory, Estimation and Empirical Evidence

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  • Garbarino, Ellen

    (University of Sydney)

  • Slonim, Robert

    (University of Sydney)

  • Villeval, Marie Claire

    (CNRS, GATE)

Abstract

We theoretically show that agents with loss-averse preferences facing a decision to receive a bad financial payoff if they report honestly or to receive a better financial payoff if they report dishonestly are more likely to lie to avoid receiving the low payoff the lower the ex-ante probability of the bad outcome. This occurs due to the ex-ante expected payoff increasing as the bad outcome becomes less likely, and hence the greater the loss that can be avoided by lying. We demonstrate robust support for this role of loss aversion on lying by reanalyzing the results from the extant literature covering 74 studies and 363 treatments, and from two new experiments that vary the outcome probabilities and examine lying for personal gain and for gains to causes one supports or opposes. To measure and compare lying behavior across treatments and studies, we develop an empirical method that estimates the full distribution of dishonesty when agents privately observe the outcome of a random process and can misreport what they observed.

Suggested Citation

  • Garbarino, Ellen & Slonim, Robert & Villeval, Marie Claire, 2016. "Loss Aversion and Lying Behavior: Theory, Estimation and Empirical Evidence," IZA Discussion Papers 10395, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10395
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    Cited by:

    1. Banerjee, Ritwik & Gupta, Nabanita Datta & Villeval, Marie Claire, 2018. "The spillover effects of affirmative action on competitiveness and unethical behavior," European Economic Review, Elsevier, vol. 101(C), pages 567-604.
    2. Diogo Geraldes & Franziska Heinicke & Stephanie Rosenkranz, 2023. "Lying in two dimensions," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 34-50, June.
    3. Feess, Eberhard & Kerzenmacher, Florian, 2018. "Lying opportunities and incentives to lie: Reference dependence versus reputation," Games and Economic Behavior, Elsevier, vol. 111(C), pages 274-288.
    4. D.J. da Cunha Batista Geraldes & Franziska Heinicke & S. Rosenkranz, 2021. "Lying in Two Dimensions," Working Papers 2101, Utrecht School of Economics.
    5. Dufwenberg, Martin & Dufwenberg, Martin A., 2018. "Lies in disguise – A theoretical analysis of cheating," Journal of Economic Theory, Elsevier, vol. 175(C), pages 248-264.
    6. Ariely, Dan & Garcia-Rada, Ximena & Gödker, Katrin & Hornuf, Lars & Mann, Heather, 2019. "The impact of two different economic systems on dishonesty," European Journal of Political Economy, Elsevier, vol. 59(C), pages 179-195.
    7. Geraldes, Diogo & Heinicke, Franziska & Rosenkranz, Stephanie, 2019. "Lying in Two Dimensions and Moral Spillovers," MPRA Paper 96640, University Library of Munich, Germany.

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    More about this item

    Keywords

    experimental economics; loss aversion; dishonesty; econometric estimation; lying;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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