This paper investigates the design of incentives in a dynamic adverse selection framework when agents' production technologies display learning effects and agents' rate of learning is private knowledge. In a simple two-period model with full commitment available to the principal, we show that...

I consider a situation, where the agent can acquire payoff-relevant information either before or after the contract is signed. To raise efficiency, the principal might solicit information; to retain all surplus, however, she must prevent precontractual information gathering. The following class...

The relationship between physician and patient has been discussed intensively in the literature. Nevertheless, they neglect the fact that the production of health not only depends on the medical services supplied by the physician but is also influenced by the patient's compliance. We present a...

We present a dynamic contracting model in which the principal and the agent disagree about the resolution of uncertainty, and we illustrate the contract design in an application with Bayesian learning. The disagreement creates gains from trade that the principal realizes by transferring payment...

We modify the principal-agent model with moral hazard by assuming that the agent is expectation-based loss averse according to Köszegi and Rabin (2006, 2007). The optimal contract is a binary payment scheme even for a rich performance measure, where standard preferences predict a fully...

This paper addresses the question of delegation in an organisation where there is an initial asymmetry of information between the principal and the agent. We assume that the principal cannot use revelation techniques à la Baron Myerson to elicit agent's superior information and in contrast, we...

Should principals explain and justify their evaluations? In this paper the principal's evaluation is private information, but she can provide some justifications by sending a costly message. Indeed, it is optimal for the principal to explain her evaluation to the agent if and only if the...