This paper studies the design of optimal contracts in dynamic environments where agents learn by doing. We derive a condition under which contracts are fully incentive compatible. A closed-form solution is obtained when agents have CARA utility. It shows that human capital accumulation...

Empirical literature on moral hazard focuses exclusively on the direct impact of asymmetric information on market outcomes, thus ignoring possible repercussions. We present a field experiment in which we consider a phenomenon that we call second-degree moral hazard – the tendency of the supply...

Incentives often fail in inducing economic agents to engage in a desirable activity; implementability is restricted. What restricts implementability? When does re-organization help to overcome this restriction? This paper shows that any restriction of implementability is caused by an...

We characterize optimal incentive contracts in a moral hazard framework extended in two directions. First, after effort provision, the agent is free to leave and pursue some ex-post outside option. Second, the value of this outside option is increasing in effort, and hence endogenous. Optimal...

We analyze the costs and benefits of using social image to foster virtuous behavior. A Principal seeks to motivate reputation-conscious agents to supply a public good. Each agent chooses how much to contribute based on his own mix of public-spiritedness, private signal about the value of the...

We use experiments to test comparative statics predictions of canonical tournament theory. Both the roles of principal and agent are populated by human subjects, allowing us to test predictions for both incentive responses and optimal tournament design. Consistent with theory, we observed an...

We develop a new approach to quantify how patients respond to dynamic incentives in health insurance contracts with a deductible. Our approach exploits two sources of variation in a differences-in-regression-discontinuities design: deductible contracts reset at the beginning of the year, and...