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Lies and Biased Evaluation: A Real-Effort Experiment

Author

Listed:
  • Julie Rosaz

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Marie Claire Villeval

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract
This paper presents the results of a laboratory experiment in which workers perform a real-effort task and supervisors report the workers’ performance to the experimenter. The report is non verifiable and determines the earnings of both the supervisor and the worker. We find that not all the supervisors, but at least one third of them bias their report. Both selfish black lies (increasing the supervisor’s earnings while decreasing the worker’s payoff) and Pareto white lies (increasing the earnings of both) according to Erat and Gneezy (2009)’s terminology are frequent. In contrast, spiteful black lies (decreasing the earnings of both) and altruistic white lies (increasing the earnings of workers but decreasing those of the supervisor) are almost non-existent. The supervisors’ second-order beliefs and their decision to lie are highly correlated, suggesting that guilt aversion plays a role.
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Suggested Citation

  • Julie Rosaz & Marie Claire Villeval, 2011. "Lies and Biased Evaluation: A Real-Effort Experiment," Post-Print halshs-00947962, HAL.
    • Handle: RePEc:hal:journl:halshs-00947962
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Lies; deception; self-image; guilt aversion; lie-aversion; evaluation; experiments;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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