We apply the dynamic stochastic framework proposed by recent evolutionaryliterature to the class of strict supermodular games when two simplebehavior rules coexist in the population, imitation and myopic optimization.We assume that myopic optimizers are able to see how well their payoff...

We consider a model of conformity that permits a non-conformist equilibrium and multiple conformist equilibria. Agents are assumed to behave according to a best reply learning dynamic. We details the conditions under which a social norm and conformity emerge. The emergence of conformity depends...

We consider a simple model that combines elements of search and social learning. Acting in sequence, and observing the action adopted by a previous agent, agents must search for an action. We explore why agent heterogeneity may increase expected payoffs and demonstrate that social learning may...

Global games of regime change – coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it – have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend...

We report the results of experiments designed to test the impact of social status on learning in a coordination game. In the experiment, all subjects observe the play of an agent who either has high status or low status. In one treatment the agent is another player in the game; in the other the...

We derive conditions on the learning environment - which encompasses both Bayesian and non-Bayesian processes - ensuring that an efficient allocation of resources is achievable in a dynamic allocation environment where impatient, privately informed agents arrive over time, and where the designer...

We study how market structures, along with asymmetries in learning technologies, affect trade in a product market. In this market, a new product of unknown quality is introduced to challenge a pre-existing product of known quality. We show that market efficiency (the first-best) is achieved both...

This paper uses a laboratory experiment to test the predictions of a dynamic global game designed to capture the self-fulfilling nature of speculative attacks. The game has two stages and a large number of heterogeneously informed agents deciding whether to attack the status quo. In the first...

We study a two-player game of strategic experimentation with private information in which agents choose the timing of risky investments. Agents learn about future returns through privately observed signals, others' investment decisions and from public experimentation outcomes when returns are...

We study decentralized learning in organizations. Decentralization is captured through a symmetry constraint on agents' strategies. Among such attainable strategies, we solve for optimal and equilibrium strategies. We model the organization as a repeated game with imperfectly observable actions....