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Identification of Peer Effects through Social Networks

  • Yann Bramoullé
  • Habiba Djebbari
  • Bernard Fortin

We provide new results regarding the identification of peer effects. We consider an extended version of the linear-in-means model where each individual has his own specific reference group. Interactions are thus structured through a social network. We assume that correlated unobservables are either absent, or treated as fixed effects at the component level. In both cases, we provide easy-to-check necessary and sufficient conditions for identification. We show that endogenous and exogenous effects are generally identified under network interaction, although identification may fail for some particular structures. Monte Carlo simulations provide an analysis of the effects of some crucial characteristics of a network (i.e., density, intransitivity) on the estimates of social effects. Our approach generalizes a number of previous results due to Manski (1993), Moffitt (2001), and Lee (2006).

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Paper provided by CIRPEE in its series Cahiers de recherche with number 0705.

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Date of creation: 2007
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Handle: RePEc:lvl:lacicr:0705
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  4. Laurent Davezies & Xavier d'Haultfoeuille & Denis Fougère, 2007. "Identification of Peer Using Group Size Variation," Working Papers 2007-34, Centre de Recherche en Economie et Statistique.
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  8. Calvó-Armengol, Antoni & Patacchini, Eleonora & Zenou, Yves, 2008. "Peer Effects and Social Networks in Education," CEPR Discussion Papers 7060, C.E.P.R. Discussion Papers.
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  38. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
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  41. De Giorgi, Giacomo & Pellizzari, Michele & Redaelli, Silvia, 2007. "Be as Careful of the Books You Read as of the Company You Keep: Evidence on Peer Effects in Educational Choices," IZA Discussion Papers 2833, Institute for the Study of Labor (IZA).
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