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 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 …

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 …

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 …

linked fields. Our analysis uses 1.8 million U.S. patents and their citation properties to map the innovation network and its … strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975 …-1994. The interaction of this pre-existing network structure with patent growth in upstream technology fields has strong …

Network connections within MNCs seem to improve export market shares for Asian affiliates of those MNCs. In particular …

setting with data from experiments involving members of a single connected network. The class includes null hypotheses that … have no effect. We also consider hypotheses concerning the validity of sparsification of a network (for example based on …

Financial network structure is an important determinant of systemic risk. This paper examines how the U.S. interbank … network evolved over a long and important period that included two key events: the founding of the Federal Reserve and the …, initially reducing overall network concentration. The network became even more focused on Fed cities during the Depression, as …

first characterize the biases in both network statistics and estimates of network effects under non-random sampling … theoretically and numerically. Sampled network data systematically bias the properties of observed networks and suffer from non … post-stratification weighting approaches to networked contexts, which enables researchers to recover several network …