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 …

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

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 …

these issues using a model of (Bayesian) learning over a social network. Agents learn rapidly from and may also have … environment changes sufficiently rapidly, any network consisting of just strong links will do only a little better than random …

, and different network layers. At the individual level, homophilous tendencies are persistent across time and network … those characteristics. We also document the nuanced impact of network connections on changes in Grade Point Average …

-action game. Covered examples include (certain types of) peer effect, technology adoption, strategic network formation, and multi …

, 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 …

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 …