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Biased Information and Effort

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  • 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)

Abstract

We study the impact of information manipulation by a principal on the agent's effort. In a context of asymmetric information at the principal's advantage, we test experimentally the principal's willingness to bias (overestimate or under-estimate) the information she gives to her agent on his ability in order to motivate him to exert more effort. We find that i) principals do bias information, ii) agents trust the cheap-talk messages they receive and adjust their effort accordingly. Therefore, biased messages improve both the agent's performance and thus the principal's profit. This, however, does not increase efficiency. We also find that over-estimation occurs much more often than under-estimation. Making the signal costly in an additional treatment reduces this effect.

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  • Julie Rosaz, 2012. "Biased Information and Effort," Post-Print halshs-00527563, HAL.
    • Handle: RePEc:hal:journl:halshs-00527563
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00527563
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    References listed on IDEAS

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    Cited by:

    1. Filippin, Antonio & Crosetto, Paolo, 2014. "A Reconsideration of Gender Differences in Risk Attitudes," IZA Discussion Papers 8184, Institute of Labor Economics (IZA).
    2. Rosaz, Julie & Villeval, Marie Claire, 2012. "Lies and biased evaluation: A real-effort experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 84(2), pages 537-549.
    3. Marco Kleine & Sebastian Kube, 2015. "Communication and Trust in Principal-Team Relationships: Experimental Evidence," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2015_06, Max Planck Institute for Research on Collective Goods.
    4. Antonio Filippin & Paolo Crosetto, 2016. "A Reconsideration of Gender Differences in Risk Attitudes," Management Science, INFORMS, vol. 62(11), pages 3138-3160, November.
    5. Uwe Dulleck & Jonas Fooken & Yumei He, 2012. "Public Policy and Individual Labor Market Discrimination: An Artefactual Field Experiment in China," QuBE Working Papers 002, QUT Business School.
    6. Ertac, Seda & Koçkesen, Levent & Ozdemir, Duygu, 2016. "The role of verifiability and privacy in the strategic provision of performance feedback: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 100(C), pages 24-45.
    7. Ertac, Seda & Gümren, Mert & Koçkesen, Levent, 2019. "Strategic feedback in teams: Theory and experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 1-23.
    8. Uwe Dulleck & Jonas Fooken & Yumei He, 2020. "Hukou Status and Individual-Level Labor Market Discrimination: An Experiment in China," ILR Review, Cornell University, ILR School, vol. 73(3), pages 628-649, May.

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    More about this item

    Keywords

    information; feedback; bias; motivation; experiment; biais; expérience;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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