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...

Empirical evidence on developing countries highlights that poor farm-households are less keen to adopt high risk / high return technologies than rich households. Yet, they tend to be more vulnerable to income shocks than the rich. This paper develops a model of informal risk-sharing with...

Moral hazard and adverse selection impede the development of formal crop insurance markets in developing countries. Besides, the risk mitigation provided by informal risk-sharing arrangements is restricted by their inability to protect against covariate shocks. In this context, index-based...