We study learning by privately informed forward-looking agents in a simple repeated-action setting of social learning. Under a symmetric signal structure, forward-looking agents behave myopically for any degrees of patience. Myopic equilibrium is unique in the class of symmetric threshold...

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by providing a detailed picture of short-run dynamics in a game of strategic experimentation where agents are located in a social network. We show that the delay in information...

In monopoly pricing situations, firms should optimally vary prices to learn demand. The variation must be sufficiently high to ensure complete learning. In competitive situations, however, varying prices provides information to competitors and may reduce the value of learning. Such situations...

Can workers from social groups of comparable productivities obtain comparable employment opportunities in the long run? We model dynamic hiring and employer learning via a general Poisson multi-armed bandit framework. Breakdown environments that reveal on-the-job mistakes rather than successes...

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by providing a detailed picture of short-run dynamics in a game of strategic experimentation where agents are located in a social network. The delay in information transmission...

Retailers may face uncertainty about the profitability of local markets, which provide opportunities for learning when making entry decisions. To quantify these informational benefits, I develop an empirical framework for studying dynamic retail entry with uncertainty and learning (from others)....

We demonstrate in a laboratory experiment in which subjects play a two-player Cournot-Tullock game over hundreds of periods of varying length that full accounts of subjects' learning requires the consideration of, both, 'period time' and 'physical time.'

This paper analyzes a two-player game of strategic experimentation with three-armed exponential bandits in continuous time. Players face replica bandits, with one arm that is safe in that it generates a known payoff, whereas the likelihood of the risky arms' yielding a positive payoff is...

We study behavior in repeated interactions when agents have no information about the structure of the underlying game and they cannot observe other agents' actions or payoffs. Theory shows that even when players have no such information, simple payoff-based learning rules eventually lead to...

We study relational contracts in a firm-worker relationship with mutual uncertainty about match quality. The worker's actions are publicly observed and generate output, and hence information about the match quality. Despite the absence of private information, uncertainty about match quality...