This paper develops a simple model in which a social hierarchy emerges endogenously when agents form a network for complementary interaction (``activity''). Specifically, we assume that agents are ex ante identical and their best response activity, as well as their value function, increases...

We consider a co-evolutionary model of social coordination and network formation where agents may decide on an action in a 2x2 - coordination game and on whom to establish costly links to. We find that a payoff dominant convention is selected for a wider parameter range when agents may only...

We develop a network model whose links are governed by banks' optmizing decisions and by an endogenous tâtonnement market adjustment. Banks in our model can default and engage in re-sales: risk is transmitted through direct and cascading counterparty defaults as well as through indirect...

Counterfactual policy evaluation often requires computation of game‐theoretic equilibria. We provide new algorithms for computing pure‐strategy Nash equilibria of games on networks with finite action spaces. The algorithms exploit the fact that many agents may be endowed with types such that...

The model of social network is used to analyze the impact of the power of labor unions in the labor relations. We find that labor union capable to affect a pecuniary compensation of shirking employees lessens the motivation of employees to work and improve to the unionization rate. As a result,...

I present a behavioural model of network formation with positive network externalities in which individuals have preferences for being part of a clique. The behavioural model leads to an associated supermodular (Topkis, 1979) normal form game. I show that the behavioural model converges to the...

Modeling the evolution of networks is central to our understanding of modern large communication systems, such as theWorld-Wide-Web, as well as economic and social networks. The research on social and economic networks is truly interdisciplinary and the number of modeling strategies and concepts...

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents are connected according to an undirected graph, the social network, and have the choice between two actions: either to adopt a new behavior or technology or stay with the default...

This paper studies the long-run (stochastic) stability of an evolutionary model with persistent randomness in network games. We focus on evolutionary dynamics in symmetric coordination games where players choose the best responses to their opponents' strategies. Recent studies find that the...