This paper develops a stochastic learning model in which agents choose a limited number of partners to play size-dependent minimum-effort games. The payoff for each agent in this interaction depends on the minimum of the efforts of her partners and herself, and is increasing with the size of her...

This paper develops a model in which agents choose a limited number of partners to play a coordination game. We introduce a hybrid revision protocol, in which an agent may revise only her action, only her links or both her action and links. We show that risk-dominant strategy profiles will be...

e study whether maximum efficiency can be obtained in a stochastic learning model where players can actively form links with a limited number of peers to play a size-dependent minimum-effort game. The long-run equilibrium is contingent on the linking constraint and the marginal payoff from...

We study the impact of swtiching costs on the long run outcome in 2x2 conordination games played in the circular city model oflocal interactions. For low levels of switiching costs the predictions are in line with the previous literature and the risk dominant convention is the unique long run...

We establish the standard procedures in solving a class of dynamic stochastic general equilibrium models with a second-order approximation to the policy function. The innovation is that the means of exogenous shocks vary with the variances. The numerical results show that second-order...

Gagnon and Goyal (2017) develop an elegant model to understand the interaction between community and markets. One key argument is that, among others, whether markets and social ties are substitutes or complements plays a decisive role: markets undermine social ties in the case of substitutes and...

This paper studies the adaptive learning dynamics over multiple locations. Our focus is to show that, to observe the average performance of other locations is necessary or efficient. Through the analysis of information structure, the result about convergence and stochastic stability can be...