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 …

In this paper we investigate whether markets with heterogeneous network externalities can belocked-in by old …

In this paper, we connect the social network theory on centrality measures to the economic theory of preferences and … different networks. The famous degree measure assigns to every position in a weighted network the sum of the weights of all … links with its neighbours. A crucial property of a preference relation over network positions is neutrality to ordinary risk …

Longitudinal network data are increasingly available, allowing researchers to model how networks evolve over time and …

This paper empirically explores relations between network positions in knowledge networks andtrust. In social network … theory the closure argument and the gossip argument describe thisrelation. These two arguments do not distinguish between … abilities andtrust in intentions). The closure argument emphasizes that dense network structures enforceindividuals to be …

We present a multi-country theory of economic growth in which countries are connected by a network of mutual knowledge … industrial revolution. Knowledge diffusion through a Small World network produces an extraordinary diversity of individual growth …