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Homophily, Peer Effects, and Dishonesty

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Abstract

If individuals tend to behave like their peers, is it because of conformity, that is, the preference of people to align behavior with the behavior of their peers; homophily, that is, the tendency of people to bond with similar others; or both? We address this question in the context of an ethical dilemma. Using a peer effect model allowing for homophily, we designed a real-effort laboratory experiment in which individuals could misreport their performance to earn more. Our results reveal a preference for conformity and for homophily in the selection of peers, but only among participants who were cheating in isolation. The size of peer effects is similar when identical peers were randomly assigned and when they were selected by individuals. We thus jointly reject the presence of a self-selection bias in the peer effect estimates and of a link strength effect

Suggested Citation

  • Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2021. "Homophily, Peer Effects, and Dishonesty," Documents de travail du Centre d'Economie de la Sorbonne 21011, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Handle: RePEc:mse:cesdoc:21011
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    File URL: http://mse.univ-paris1.fr/pub/mse/CES2021/21011.pdf
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Homophily, Peer Effects, and Dishonesty
      by maximorossi in NEP-LTV blog on 2021-05-21 20:05:50

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    Cited by:

    1. Marie Claire Villeval, 2019. "Comportements (non) éthiques et stratégies morales," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1021-1046.
    2. Benistant, Julien & Galeotti, Fabio & Villeval, Marie Claire, 2021. "The Distinct Impact of Information and Incentives on Cheating," IZA Discussion Papers 14014, Institute of Labor Economics (IZA).
    3. Kaiwen Leong & Huailu Li & Sharon Xuejing Zuo, 2024. "Cheating amongst youth offenders: How peers and their social status influence cheating," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 242-266, January.
    4. Soraperra, Ivan & van der Weele, Joël & Villeval, Marie Claire & Shalvi, Shaul, 2023. "The social construction of ignorance: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 138(C), pages 197-213.
    5. Eugen Dimant & Shaul Shalvi, 2022. "Meta-Nudging Honesty: Past, Present, and Future of the Research Frontier," CESifo Working Paper Series 9939, CESifo.

    More about this item

    Keywords

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    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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