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Gender and Peer Effects on Performance in Social Networks

Julie Beugnot (), Bernard Fortin (), Guy Lacroix () and Marie Claire Villeval
Additional contact information
Marie Claire Villeval: Univ Lyon, CNRS, GATE L-SE UMR 5824, F-69130 Ecully, France; IZA, Bonn, Germany

No 1323, Working Papers from Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure

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.

Keywords: Peer effects; social networks; work effort; piece rate; experiment (search for similar items in EconPapers)
JEL-codes: C91 J16 J24 J31 M52 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe, nep-exp, nep-gen, nep-soc and nep-ure
Date: 2017
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