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...

Bank loans are more available and cheaper for new and small businesses in the U.S. in areas with highly concentrated banks than in areas with highly competitive banks. To explain this fact, we analyze banks' decisions to screen the project and their subsequent competition in loan provisions. It...

This paper performs a welfare analysis of economies with private information when public information is endogenously generated and agents can condition on noisy public statistics in the rational expectations tradition. We find that equilibrium is not (restricted) efficient even when feasible...

This paper performs a welfare analysis of economies with private information when public information is endogenously generated and agents can condition on noisy public statistics in the rational expectations tradition. We find that equilibrium is not (restricted) efficient even when feasible...

This paper studies the benefit coming from bundling two sequential activities in a context of Public Private Partnerships (PPPs). Differently from previous literature, I introduce a source of asymmetric information in the form of an externality parameter linking the building stage with...

We show that the stock market may fail to aggregate information even if it appears to be efficient and that the resulting decrease in the information content of stock prices may drastically reduce welfare. We solve a macroeconomic model in which information about fundamentals is dispersed and...

For many environmental problems regulators are uncertain about both the costs of abatement and the stock-related damages. For example, governments have imperfect information about damages caused by greenhouse gas stocks, and also about the costs of abating greenhouse gas emissions. They acquire...

We study the importance of anticipated learning - about both environmental damages and abatement costs - in determining the level and the method of controlling greenhouse gas emissions. We also compare active learning, passive learning, and parameter uncertainty without learning. Current beliefs...

We study learning in a bandit problem where the outcome probabilities of six arms switch (jump) over time a restless bandit. In the experiment, optimal Bayesian learning tracks the jumps through learning of the probability of a jump or direct jump detection and, once a jump has occurred,...

We build a workable game of common-property resource extraction under rational Bayesian learning about the reproduction prospects of a resource. We focus on Markov-perfect strategies under truthful revelation of beliefs. For reasonable initial conditions, exogenously shifting the prior beliefs...