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Review of Economic Studies Vol. 89 No. 4 2022

Endogenous Social Interactions with Unobserved Networks

Marco Battaglini1; Eleonora Patacchini2; Edoardo Rainone3

1 Cornell University and EIEF · 2 Cornell University · 3 Bank of Italy

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.

DOI
10.1093/restud/rdab058
Volume
89
Issue
4
Pages
1694-1747
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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