Endogenous Social Interactions with Unobserved Networks. (16th September 2021)

• Record Type: Journal Article
• Authors: Battaglini, Marco; Patacchini, Eleonora; Rainone, Edoardo
• Is Part Of: Review of economic studies. Volume 89:Number 4(2022)
• Page Start: 1694
• Page End: 1747
• Publication Date: 2021-09-16
• Subjects: Networks -- Social interactions -- U.S. Congress -- Bayesian estimation; C31 -- D85 -- D72; Economics -- Periodicals; 330
• DOI: 10.1093/restud/rdab058
• Languages: English
• ISSNs: 0034-6527

Abstract

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.