How does lie detection constrain the potential for one person to persuade another to change her action? We consider a model of Bayesian persuasion in which the Receiver can detect lies with positive probability. We show that the Sender lies more when the lie detection probability increases. As...

We approach the design of anti-discriminatory labor market regulation as a delegation problem. A private firm (the agent) is repeatedly faced with the opportunity of hiring one among several applicants to fill its vacancies. The firm is biased against applicants from some demographic group, and...

This survey provides an overview of theoretical and empirical research on information flows in corporations. It highlights key frictions preventing effective information flows and discusses how organizational structure and corporate governance can alleviate these frictions, focusing on three...

I study a simple model of moral hazard with soft information. The risk-averse agent takes an action and she alone observes the stochastic outcome; hence the principal faces a problem of ex post adverse selection. With limited instruments, the principal cannot solve these two problems...

I study a model of moral hazard with soft information: the agent alone observes the stochastic outcome of her action; hence the principal faces a problem of ex post adverse selection. With limited instruments the principal cannot solve these two problems independently; the ex post incentive for...

The separate identification of effects due to incentives, selection and preference heterogeneity in insurance markets is the topic of much debate. In this paper, we investigate the presence and variation in moral hazard across health care procedures. The key motivating hypothesis is the...

Principal-agent models take outside options, determining participation and incentive constraints, as given. We construct a general equilibrium model where workers' reservation wages and the maximum punishment acceptable before workers quit are instead determined endogenously. We simultaneously...