We consider two players facing identical discrete-time bandit problems with a safe and a risky arm. In any period, the risky arm yields either a success or a failure, and the first success reveals the risky arm to dominate the safe one. When payoffs are public information, the ensuing free-rider...

We consider two players facing identical discrete-time bandit problems with a safe and a risky arm. In any period, the risky arm yields either a success or a failure, and the first success reveals the risky arm to dominate the safe one. When payoffs are public information, the ensuing free-rider...

We study a two-player dynamic investment model with information externalities and provide necessary and sufficient conditions for a unique switching equilibrium. When the public information is sufficiently high and a social planer therefore expects an investment boom, investments should be...

We study a two-player dynamic investment model with information externalities and provide necessary and sufficient conditions for a unique switching equilibrium. Within this setup, we ask whether policymakers should interfere when better informed agents make individual investment decisions. We...

We study a two-player dynamic investment model with information externalities and provide necessary and sufficient conditions for a unique switching equilibrium. When the public information is sufficiently high and a social planer therefore expects an investment boom, investments should be...

Under the assumption that individuals know the conditional distributions of signals given the payoff-relevant parameters, existing results conclude that as individuals observe infinitely many signals, their beliefs about the parameters will eventually merge. We first show that these results are...

We establish convergence of beliefs and actions in a class of one-dimensional learning settings in which the agent's model is misspecified, she chooses actions endogenously, and the actions affect how she misinterprets information. Our stochastic-approximation-based methods rely on two crucial...