The standard economic analysis of the insured-insurer relationship under moral hazard postulates a simplistic setup that hardly explains the many features of an insurance contract. We extend this setup to include the situation that the insured was facing at the time of the accident and the...

This paper analyzes abuse of authority in a principal-supervisor-agent hierarchy under moral hazard. We characterize the optimal contracts when the supervisor takes advantage of his authority by blackmailing the agent. We show that the optimal policy for the principal is to deter abuse of...

We explore the role of firms in insuring non-verifiable output. As a device that allows workers to commit to thedelivery of their output, the firm arises endogenously as an alternative to the market if workers are sufficiently riskaverse and the firm can base its incentive payments on good...

We show that concerns for fairness may have dramatic consequences for the optimal provision of incentives in a moral hazard context. Incentive contracts that are optimal when there are only selfish actors become inferior when some agents are concerned about fairness. Conversely, contracts that...

The standard economic analysis of the insured-insurer relationship under moral hazard postulates a simplistic setup that hardly explains the many features of an insurance contract. We extend this setup to include the situation that the insured was facing at the time of the accident and the...

A unilateral policy intervention by a country (such as the introduction of an emission price) can induce firms to relocate to other countries. We analyze a dynamic game where a regulator offers contracts to avert relocation of a firm in each of two periods. The firm can undertake a...

In a globalized economy, firms move production to other countries without turning a hair. A local policy maker who seeks to avert relocation faces a dynamic problem - incentivizing the firm to remain in its home country today does not guarantee that the firm also stays in the future. We...