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Gender and Peer Effects on Performance in Social Networks

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  • Julie Beugnot Marie Claire Villeval
  • Bernard Fortin
  • Guy Lacroix
  • Marie Claire Villeval

Abstract

We investigate whether peer effects at work differ by gender and whether gender differences in peer effects -if any- depend on work organization. We develop a social network model with gender heterogeneity that we test in a real-effort laboratory experiment. We compare sequential networks in which information flows from peers to the worker and simultaneous networks where it disseminates bi-directionally. We identify strong gender differences as females disregard their peers’ performance in simultaneous networks, while males are influenced by peers in both networks. Females may perceive the environment in simultaneous networks as being more competitive than in sequential networks.

Suggested Citation

  • Julie Beugnot Marie Claire Villeval & Bernard Fortin & Guy Lacroix & Marie Claire Villeval, 2018. "Gender and Peer Effects on Performance in Social Networks," Cahiers de recherche 1803, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    • Handle: RePEc:lvl:crrecr:1803
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    1. Gender and Peer Effects on Performance in Social Networks
      by maximorossi in NEP-LTV blog on 2018-10-24 12:43:02

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    Cited by:

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    3. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Post-Print hal-03702684, HAL.
    4. Gerhards, Leonie & Gravert, Christina, 2020. "Because of you I did not give up – Peer effects in perseverance," Journal of Economic Psychology, Elsevier, vol. 81(C).
    5. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Working Papers 2022-02, Grenoble Applied Economics Laboratory (GAEL).
    6. Xiaoxu Zhang & Xinyu Du, 2023. "Industry and Regional Peer Effects in Corporate Digital Transformation: The Moderating Effects of TMT Characteristics," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    7. Julien Benistant & Fabio Galeotti & Marie Claire Villeval, 2021. "The Distinct Impact of Information and Incentives on Cheating," Working Papers halshs-03110295, HAL.
    8. Che, Yuyuan & Feng, Hongli & Hennessy, David, 2021. "Assessing Peer Effects and Subsidy Impacts in Technology Adoption: Application to Grazing Management Choices with Farm Survey Data," 2021 Conference, August 17-31, 2021, Virtual 315123, International Association of Agricultural Economists.
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    10. Agnes Baeker & Mario Mechtel, 2015. "Peer Settings Induce Cheating on Task Performance," IAAEU Discussion Papers 201506, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    11. Lasse Brune & Eric Chyn & Jason Kerwin, 2022. "Peers and Motivation at Work: Evidence from a Firm Experiment in Malawi," Journal of Human Resources, University of Wisconsin Press, vol. 57(4), pages 1147-1177.
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    More about this item

    Keywords

    Gender; Peer effects; Social Networks; Work effort; Experiments;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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