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...

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...

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 use data from the administrative les of the U.S. Department of Agriculture's Risk Management Agency to examine how the distribution of crop yields changed as individual farmers shifted into and out of the federal crop insurance program. The large panel facilitates use of fixed effects that...

In this paper we compare the welfare effects of unemployment insurance (UI) with an universal basic income (UBI) system in an economy with idiosyncratic shocks to employment. Both policies provide a safety net in the face of idiosyncratic shocks. While the unemployment insurance program should...

We analyze the legal reform concerning employees' inventions in Germany. Using a simple principal-agent model, we derive a unique efficient payment scheme: a bonus which is contingent on the project value. We demonstrate that the old German law creates inefficient incentives. However, the new...