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• W2186725115 abstract "Social and economic networks play an important role in shaping individual behaviors. In this paper, we aim to identify and estimate network formation games using observed data on network structure, i.e., who is linked with whom. We use pairwise stability, introduced by Jackson and Wolinsky (1996), as the equilibrium condition to map observed networks to model primitives. Because the fraction of unique equilibria is close to zero, the model is generally not identi…ed. We leave the equilibrium selection completely unrestricted and resort to partial identi…cation. Following Ciliberto and Tamer (2009), we derive from the pairwise stability condition bounds on the probability of observing a network. The moment inequalities obtained from these bounds, however, are computationally infeasible if networks are large. To proceed, we propose a novel approach based on subnetworks. A subnetwork is the restriction of a network to a subset of the individuals. We derive bounds on the probability of observing a subnetwork, considering only the pairwise stability of the subnetwork. Under a local externality assumption about the utility function, these new bounds yield moment inequalities that are computationally feasible provided that we only use small subnetworks. We de…ne the identi…ed set based on the feasible moment inequalities and discuss how to consistently estimate the identi…ed set and construct a con…dence region. When estimating the distribution of subnetworks, we use graph isomorphism to group the subnetworks into equivalence classes to avoid the labeling problem and to resolve the indeterminacy in picking the subnetworks from a network. The bounds are computed by simulation if they do not have closed forms." @default.
• W2186725115 created "2016-06-24" @default.
• W2186725115 creator A5081984835 @default.
• W2186725115 date "2012-01-01" @default.
• W2186725115 modified "2023-09-27" @default.
• W2186725115 title "Identi…cation and Estimation of Network Formation Games" @default.
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