SOCIAL INTERACTIONS IN LARGE NETWORKS: A GAME THEORETIC APPROACH
Haiqing Xu
International Economic Review, 2018, vol. 59, issue 1, 257-284
Abstract:
This article studies estimation of social interactions in a large network game, where all observations come from one single equilibrium of a network game with asymmetric information. Simple assumptions about the structure are made to establish the existence and uniqueness of the equilibrium. I show that the equilibrium strategies satisfy a network decaying dependence condition requiring that dependence between two players' decisions decay with their network distance, which serves as the basis for my statistical inference. Moreover, I establish identification and propose a computationally feasible and efficient estimation method, which is illustrated by an empirical application of college attendance.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
https://doi.org/10.1111/iere.12269
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:iecrev:v:59:y:2018:i:1:p:257-284
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598
Access Statistics for this article
International Economic Review is currently edited by Michael O'Riordan and Dirk Krueger
More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().