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Identification of Peer Effects through Social Networks Author info | Abstract | Publisher info | Download info | Related research | Statistics Yann Bramoullé () (CIRPÉE, Université Laval)
Habiba Djebbari () (CIRPÉE, Université Laval and IZA)
Bernard Fortin () (CIRPÉE, Université Laval)
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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 Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
2652.
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Length: 43 pages
Date of creation: Mar 2007Date of revision:
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Keywords: peer effects social networks identification Other versions of this item:
Find related papers by JEL classification: D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation Z13 - Other Special Topics - - Cultural Economics - - - Social Norms and Social Capital; Social Networks Economic Anthropology C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
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