Gender and peer effects in social networks / Julie Beugnot (CRESE EA3190, Université Bourgogne Franche-Comté), Bernard Fortin (Université Laval, CRREP, CIRANO and IZA), Guy Lacroix (Université Laval, CRREP, IZA and CIRANO), Marie Claire Villeval (Université de Lyon, CNRS, GATE, IZA and University of Innsbruck) ; IZA, Institute of Labor Economics
VerfasserBeugnot, Julie ; Fortin, Bernard ; Lacroix, Guy ; Villeval, Marie-Claire
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, February 2017
Elektronische Ressource
Umfang1 Online-Ressource (43 Seiten) : Illustrationen
SerieDiscussion paper ; no. 10588
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Gender and peer effects in social networks [0.79 mb]
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We investigate whether peer effects at work differ by gender and whether the gender difference in peer effects - if any - depends on work organization, precisely the structure of social networks. We develop a social network model with gender heterogeneity that we test by means of a real-effort laboratory experiment. We compare sequential networks in which information on peers flows exclusively downward (from peers to the worker) and simultaneous networks where it disseminates bi-directionally along an undirected line (from peers to the worker and from the worker to peers). We identify strong gender differences in peer effects, as males effort increases with peers performance in both types of network, whereas females behave conditionally. While they are influenced by peers in sequential networks, females disregard their peers performance when information flows in both directions. We reject that the difference between networks is driven by having ones performance observed by others or by the presence of peers in the same session in simultaneous networks. We interpret the gender difference in terms of perception of a higher competitiveness of the environment in simultaneous than in sequential networks because of the bi-directional flow of information.