-speci?c heterogeneity and supporting causal inference, (ii) techniques for estimating, and conducting inference on, summary network … parameters (e.g., the degree distribution or transitivity index); and (iii) empirical models of strategic network formation …

placing its data on others’ storage devices, given the prevailing data loss rate in the network. The cost function of an agent … captures the cost that the agent incurs to maintain links in the network. With this utility function, we analyze what network … exists a pairwise stable network, which is also efficient. We show that all pairwise stable networks are efficient, and hence …

We propose the dynamic network effect (DNE) model for the study of high-dimensional multivariate time series data … of latent stochastic network effects. The parameter-driven, nonlinear state-space model requires simulation …-section dimension is large and the network is dense. An empirical application on the spread of the COVID-19 pandemic through …