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Endogenous Social Interactions with Unobserved Networks

Author

Listed:
  • Marco Battaglini
  • Eleonora Patacchini
  • Edoardo Rainone

Abstract

We present a model of endogenous network formation to recover unobserved social networks using only observable outcomes. We propose a novel equilibrium concept that allows for a sharp characterization of equilibrium behaviour and that yields a unique prediction under testable conditions. While the equilibrium is characterized by a large number of non-linear equations, we show that it can be efficiently employed to recover the networks by an appropriately designed approximate Bayesian computation method. We apply the model to recover the network of social links between lawmakers in the U.S. Congress using data from the 109th to 113th legislatures. We show that social connections are important for legislators’ productivities, and we identify some of the key determinants of network centralities in the U.S. Congress.

Suggested Citation

  • Marco Battaglini & Eleonora Patacchini & Edoardo Rainone, 2022. "Endogenous Social Interactions with Unobserved Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(4), pages 1694-1747.
    • Handle: RePEc:oup:restud:v:89:y:2022:i:4:p:1694-1747.
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    File URL: http://hdl.handle.net/10.1093/restud/rdab058
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    Cited by:

    1. de Paula, Aureo & Rasul, Imran & Souza, Pedro, 2018. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," CEPR Discussion Papers 12792, C.E.P.R. Discussion Papers.
    2. Promit K. Chaudhuri & Matthew O. Jackson & Sudipta Sarangi & Hector Tzavellas, 2023. "Games Under Network Uncertainty," Papers 2305.03124, arXiv.org, revised Dec 2024.

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