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 extends the standard principal-agent model with moral hazard to allow for agents having reference- dependent preferences according to Köszegi and Rabin (2006, 2007). The main finding is that loss aversion leads to fairly simple contracts. In particular, when shifting the focus from...

This paper provides a selective review of the theoretical literature on delegated portfolio management as a principal-agent relationship. The main focus of the paper is to review the analytical issues raised by the peculiar nature of the delegated portfolio management relationship within the...

Several empirical findings have challenged the traditional view on the trade-off between risk and incentives. By combining risk aversion and limited liability in a standard principal-agent model the empiri- cal puzzle on the positive relationship between risk and incentives can be explained....

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 derive the shape of optimal unemployment insurance (UI) contracts when agents can exert search effort but face different search costs and have private information about their type. We derive a recursive solution of our dynamic adverse selection problem with repeated moral hazard. Conditions...

The issue of whether unemployment benefits should increase or decrease over the unemployment spell is analyzed in a tractable model allowing moral hazard, adverse selection and hidden saving. Analytical results show that when the search productivity of unemployed is constant over the...