We embed learning (without experimentation) in optimal growth. We extend the Mirman-Zilcha results of stochastic optimal growth to the learning case. We use recursive methods to study the effect of learning on the dynamic program by considering the case of iso-elastic utility and linear...

The Great Recession has shattered the consensus on the benefits of capital account liberalization. Capital account controls have been introduced in several countries and have even been supported by the International Monetary Fund. In this paper we investigate whether capital account policies in...

The identification of information problems in different markets is a challenging issue in the economic literature. In this paper, we study the identification of moral hazard from adverse selection and learning within the context of a multi-period dynamic model. We extend the model of Abbring et...

We study dynamic moral hazard where principal and agent are symmetrically uncertain about job difficulty. Since effort is unobserved, shirking leads the principal to believe that the job is hard, increasing the agent's continuation value. So deterring shirking requires steeper incentives, which...

We study dynamic moral hazard, with symmetric ex ante uncertainty and learning. Unlike Holmstrom's career concerns model, uncertainty pertains to the difficulty of the job rather than the general talent of the agent, so that contracts are required to provide incentives. Since effort is privately...

Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, compute the corresponding premiums, and thereby reduce asymmetric information. With perfect risk classification, premiums fully reflect the expected cost associated...

We discuss the difficult question of measuring the effects of asymmetric information problems on resource allocation. Three problems are examined: moral hazard, adverse selection, and asymmetric learning. One theoretical conclusion, drawn by many authors, is that information problems may...