When a large number of agents play a game with strategic complementarity, information choices exhibit strategic complementarity as well: If an agent wants to do what others do, then they want to know what others know. Likewise, strategic substitutability in actions produces strategic...

In the standard model of dynamic interaction, players are assumed to receive public signals according to some exogenous distributions for free. We deviate from this assumption in two directions to consider an aspect of information structure in a more realistic way. We assume that signals are...

We present a dynamic quantity setting game, where players may continuously adjust their quantity targets, but incur convex adjustment costs when they do so. These costs allow players to use quantity targets as a partial commitment device. We show that the equilibrium path of such a game is...

A fundamental non-stationarity of infinitely repeated games as usually studied is that the length of the history of play gets longer each period. With private actions (and mixed strategies) or private signals, this introduces a particular difficulty with common solution concepts such as...

We show that the ways incentives can be provided during dynamic interaction depend very crucially on the manner in which players learn information. This conclusion is established in a general stationary environment with noisy public monitoring and frequent actions. The monitoring process can be...

We study games in which players search for an optimal action profile. All action profiles are either a success, with a payoff of one, or a failure, with a payoff of zero. Players do not know the location of success profiles; instead each player is privately informed about the marginal...

We study a model of efficient risk sharing between two agents, A and B, who enjoy a non-durable common good. Only agent B can provide the common good whereas agent A can merely contribute indirectly by making transfers to the provider, agent B. We consider self-enforcing equilibria in the...

In the canonical learning model, the multi-armed bandit with independent arms, a decision maker learns about the different alternatives only through his private experience. It is well known that any optimal experimentation strategy for this problem is ex-post inefficient: it sometimes leads the...