We develop and analyze a tractable empirical model for strategic network formation that can be estimated with data from … a single network at a single point in time. We model the network formation as a sequential process where in each period …, the characteristics of the potential partner, and on features of the current state of the network, such as whether the two …

chapter describes econometric methods for analyzing them. I emphasize (i) dyadic regression analysis incorporating unobserved …, summary network parameters (e.g., the degree distribution or transitivity index); and (iii) empirical models of strategic … network formation admitting interdependencies in preferences. Current research challenges and open questions are also …

This paper presents and structurally estimates a model of endogenous network formation and legislative activity of … of Congress as exogenously given and instead embed it in a model of endogenous network formation useful for developing …

We develop a theoretical model of security investments in a network of interconnected agents. Network connections … strategic substitutes. In a general (non-symmetric) network, this implies that underinvestment by some agents will encourage … symmetric or locally tree-like. We also characterize the impact of network structure on equilibrium and optimal investments …

In this note, we consider a broad class of network models where a large number of heterogeneous agents simultaneously …

for their legislative activity. We propose a novel equilibrium concept for the network formation game that allows for a …

We show that increasing the probability of obtaining a job offer through a network should raise the observed wages of … workers in jobs found through formal channels relative to those in jobs found through the network. This prediction holds at … are consistent with the primary effect of network strength being to increase the arrival rate of offers rather than to …

We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest …' (including ERGMs) parameters estimated from the observation of a single network are consistent (i.e., become accurate as the … exponentially slow mixing times for many specifications, we show that by reformulating network formation as a distribution over the …

interactions in the form of preferences for conformity in the social network. We find strong evidence for forward looking dynamics …