We consider situations where legal liability yields insufficient incentives for socially efficient behavior, e.g., individuals who cause harm are not always sued or are unable to pay fully for harm done. Some individuals nevertheless behave efficiently because of intrinsic prosocial concerns....

Using a unique, hand-collected data set on hedging activities of 150 US oil and gas producers, we study the determinants of hedging strategy choice. We also examine the economic effects of hedging strategy on firms’ risk, value and performance. We model hedging strategy choice as a multi-state...

We study learning in perfect competition. A representative price-taking firm sells a good whose quality is unknown to some buyers. The uninformed buyers use the price to infer information about quality. Even though the firm is a price-taker, information is disseminated though the price. It is...

This paper investigates how firms design the maturity of their hedging programs, and the real effects of maturity choice on firm value and risk. Using a new dataset on hedging activities of 150 U.S. oil and gas producers, we find strong evidence that hedging maturity is influenced by investment...

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...

Road safety policies and automobile insurance contracts often use incentive mechanisms based on traffic violations and accidents to promote safe driving. Can these mechanisms improve road safety efficiently? Do they reduce asymmetric information between drivers and insurers and regulators? In...

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...

We study an individual's incentive to search for a job in the presence of random criminal opportunities. These opportunities extenuate moral hazard, as the individual sometimes commits crime rather than searching. Even when he searches, he applies less effort. We then revisit the design of...

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...