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Social network and peer effects at work

Author

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  • Julie Beugnot

    (CIRPEE - Centre interuniversitaire sur le risque, les politiques économiques et l'emploi - Centre Interuniversitaire sur le Risque, les Politiques Economiques et l'Emploi)

  • Bernard Fortin

    (CIRPEE - Centre interuniversitaire sur le risque, les politiques économiques et l'emploi - Centre Interuniversitaire sur le Risque, les Politiques Economiques et l'Emploi, CIRANO - Centre interuniversitaire de recherche en analyse des organisations - UQAM - Université du Québec à Montréal = University of Québec in Montréal)

  • Guy Lacroix

    (CIRPEE - Centre interuniversitaire sur le risque, les politiques économiques et l'emploi - Centre Interuniversitaire sur le Risque, les Politiques Economiques et l'Emploi, CIRANO - Centre interuniversitaire de recherche en analyse des organisations - UQAM - Université du Québec à Montréal = University of Québec in Montréal)

  • 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 extends the standard work effort model by allowing workers to interact through networks. We investigate experimentally whether peer performances and peer contextual effects influence individual performances. Two types of network are considered. Participants in Recursive networks are paired with participants who played previously in isolation. In Simultaneous networks, participants interact in real-time along an undirected line. Mean peer effects are identified in both cases. Individual performances increase with peer performances in the recursive network. In the simultaneous network, endogenous peer effects vary according to gender: they are large for men but not statistically different from zero for women.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Julie Beugnot & Bernard Fortin & Guy Lacroix & Marie Claire Villeval, 2014. "Social network and peer effects at work," Post-Print halshs-00949157, HAL.
    • Handle: RePEc:hal:journl:halshs-00949157
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    Cited by:

    1. Jiang, Lingqing, 2020. "Splash with a teammate: Peer effects in high-stakes tournaments," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 165-188.
    2. Georganas, Sotiris & Tonin, Mirco & Vlassopoulos, Michael, 2015. "Peer pressure and productivity: The role of observing and being observed," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 223-232.
    3. Shaun Hargreaves Heap & Abhijit Ramalingam & David Rojo Arjona, 2017. "Social Information “Nudges”: An Experiment with Multiple Group References," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 348-365, July.
    4. Gerhards, Leonie & Gravert, Christina, 2016. "Because of you I did not give up - How peers affect perseverance," Working Papers in Economics 659, University of Gothenburg, Department of Economics.
    5. Simona Cicognani & Luigi Mittone, 2014. "Social norms or low-cost heuristics? An experimental investigation of imitative behavior," CEEL Working Papers 1402, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    6. Mechtel, Mario & Bäker, Agnes, 2015. "Peer Effects in Cheating on Task Performance," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113093, Verein für Socialpolitik / German Economic Association.
    7. Rosaz, Julie & Slonim, Robert & Villeval, Marie Claire, 2016. "Quitting and peer effects at work," Labour Economics, Elsevier, vol. 39(C), pages 55-67.
    8. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    9. Cicognani, Simona & Mittone, Luigi, 2014. "Over-confidence and low-cost heuristics: An experimental investigation of choice behavior," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-31.
    10. Mathieu Lefebvre & Pierre Pestieau & Arno Riedl & Marie Villeval, 2015. "Tax evasion and social information: an experiment in Belgium, France, and the Netherlands," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(3), pages 401-425, June.
    11. Rokhaya Dieye & Bernard Fortin, 2017. "Gender Peer Effects Heterogeneity in Obesity," Cahiers de recherche 1702, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    12. Corgnet, Brice & Hernán-González, Roberto & Mateo, Ricardo, 2023. "Peer effects in an automated world," Labour Economics, Elsevier, vol. 85(C).
    13. Graff, Frederik & Grund, Christian & Harbring, Christine, 2021. "Competing on the Holodeck - The effect of virtual peers and heterogeneity in dynamic tournaments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    14. Boucher, Vincent & Fortin, Bernard, 2015. "Some Challenges in the Empirics of the Effects of Networks," IZA Discussion Papers 8896, Institute of Labor Economics (IZA).
    15. Roel van Veldhuizen & Hessel Oosterbeek & Joep Sonnemans, 2018. "Peers at work: Evidence from the lab," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-15, February.
    16. Marcelo Arbex & Ricardo Freguglia & Rafael Siano, 2016. "Network Centrality in Labor Markets and Wage Dynamics," Working Papers 1609, University of Windsor, Department of Economics.
    17. 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).
    18. Roel van Veldhuizen & Hessel Oosterbeek & Joep Sonnemans, 2014. "Peers at Work: From the Field to the Lab," Tinbergen Institute Discussion Papers 14-051/I, Tinbergen Institute.

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    More about this item

    Keywords

    Peer effects; social networks; work effort; piece rate; experiment;
    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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