Title
Social Interactions in Large Networks: A Game Theoretic Approach.
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 playersu0027 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.
Year
DOI
Venue
2016
10.1111/iere.12269
International Economic Review
Field
DocType
Volume
Econometrics,Uniqueness,Large networks,Mathematical optimization,Information asymmetry,Social network,Game theoretic,Equilibrium selection,Statistical inference,Bayesian game,Mathematics
Journal
abs/1610.08903
Issue
Citations 
PageRank 
1
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Haiqing Xu141.84