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Identification of Peer Effects through Social Networks

Author

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  • Bramoullé, Yann

    (Laval University)

  • Djebbari, Habiba

    (Aix-Marseille University)

  • Fortin, Bernard

    (Université Laval)

Abstract

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).

Suggested Citation

  • Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2007. "Identification of Peer Effects through Social Networks," IZA Discussion Papers 2652, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp2652
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    More about this item

    Keywords

    identification; social networks; peer effects;
    All these keywords.

    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 - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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