divided into types, and we represent the compatibility between different types using a bipartite network. Traders are … commissions/subscriptions depending on their network positions. We establish that the latter result holds even when the traders on …'s revenues in terms of the supply-demand imbalance across the network. Motivated by simpler schemes used in practice, we show …

efficient network maximizing social welfare, and find that the efficient graph is either empty, complete or shows a strong core … counterfactual analyses, taking into account that the network and production can dynamically adjust to shocks or policy interventions ….6%. Our study further reveals that when ignoring the network structure the impact of firm exit or mergers is significantly …

-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 …

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 …

Modern society is a network society permeated by information technology (IT). As a result of innovations in IT … the perspective of different layers defining these networks. -- Network Uncertainty ; Network Evolution ; Communication … and Trust ; Governance ; Processes ; Information Technology ; Network Structure ; Network Dynamics ; Business Networks …

restricted through a network of existing relationships and traders bargain over the division of available gains from trade along … point of a set of intuitive value function equations and study efficiency and the relationship between network structure and … ; Middlemen ; Network …