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Cheating and loss aversion: do people lie more to avoid a loss?

Author

Listed:
  • Gilles Grolleau

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier, LESSAC - Laboratoire d'Expérimentation en Sciences Sociales et Analyse des Comportements - BSB - Burgundy School of Business (BSB) - Ecole Supérieure de Commerce de Dijon Bourgogne (ESC))

  • Martin G Kocher

    (Department of Economics - LMU - Ludwig-Maximilians University [Munich], QUT - Queensland University of Technology [Brisbane], GU - Göteborgs Universitet = University of Gothenburg)

  • Angela Sutan

    (LESSAC - Laboratoire d'Expérimentation en Sciences Sociales et Analyse des Comportements - BSB - Burgundy School of Business (BSB) - Ecole Supérieure de Commerce de Dijon Bourgogne (ESC))

Abstract

Does the extent of cheating depend on a proper reference point? We use a real effort task that implements a two (gain versus loss frame) times two (monitored performance versus unmonitored performance) between-subjects design to examine whether cheating is reference-dependent. Our experimental findings show that self-reported performance in the unmonitored condition is significantly higher than actual performance in the monitored condition — a clear indication for cheating. However, the level of cheating is by far higher in the loss frame than in the gain frame. Furthermore, men are much more strongly affected by the framing than women.

Suggested Citation

  • Gilles Grolleau & Martin G Kocher & Angela Sutan, 2016. "Cheating and loss aversion: do people lie more to avoid a loss?," Post-Print hal-01447446, HAL.
    • Handle: RePEc:hal:journl:hal-01447446
    DOI: 10.1287/mnsc.2015.2313
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    JEL classification:

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

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