We develop a method to estimate a game’s primitives in complex dynamic environments. Because of the environment’s complexity, agents may not know or understand some key features of their interaction. Instead of equilibrium assumptions, we impose an asymptotic ε-regret (ε-AR) condition on...

The U.K.'s decision to leave the EU and the voting in of the protectionist Donald Trump to the US presidency has drawn both the UK and the USA into the Nash Trap.U.S. mathematician John Nash (the movie ‘A Beautiful Mind') postulated that Adam Smith's declaration that ‘In competition,...

The performance of groups has been thoroughly investigated in experimental economics, showing that groups are overall more rational deciders than individuals. However, superior group performance in economic experiments has primarily been shown for face-toface decision making, which has ceased to...

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 study firms' incentives to acquire private information in a setting where subsequent competition leads to firms' later signaling their private information to rivals. Due to signaling, equilibrium prices are distorted, and so while firms benefit from obtaining more precise private information,...

The paper reports an experimental study based on a variant of the popular Chinos game, which is used as a simple but paradigmatic instance of observational learning. There are three players, arranged in sequence, each of whom wins a fixed price if she manages to guess the total number of coins...

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 consider learning in games that are misspecified in that players are unable to learn the true probability distribution over outcomes. Under misspecification, Bayes rule might not converge to the model that leads to actions with the highest objective payoff among the models subjectively...