, 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 …

I build a simple dynamic model of the formation of an international social network of importers and exporters. Firms … can only export into markets in which they have a contact. They acquire new contacts both at random, and via their network …

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 …

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 …

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 …

I propose a network/search view of international trade in differentiated products. I present evidence that supports the …

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 …