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social networks: econometrics

Author

Listed:
  • Yann Bramoullé
  • Bernard Fortin

Abstract

In a social network, agents have their own reference group which may influence their behaviour. In turn, the agents' attributes and their behaviour affect the formation and the structure of the social network. This paper surveys the econometric literature on both aspects of social networks, and discusses the identification and estimation issues they raise.

Suggested Citation

  • Yann Bramoullé & Bernard Fortin, 2010. "social networks: econometrics," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    • Handle: RePEc:pal:dofeco:v:4:year:2010:doi:1930
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    File URL: http://www.dictionaryofeconomics.com/article?id=pde2010_S000545
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    Citations

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    Cited by:

    1. Lopera, Maria Adelaida & Marchand, Steeve, 2018. "Peer effects and risk-taking among entrepreneurs: Lab-in-the-field evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 182-201.
    2. Leung, Michael P., 2015. "Two-step estimation of network-formation models with incomplete information," Journal of Econometrics, Elsevier, vol. 188(1), pages 182-195.
    3. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).

    More about this item

    Keywords

    identification; mutual consent; network formation; pair-wise regressions; peer effects; separability; social network;
    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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