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...

Crowdfunding challenges the traditional separation between finance and marketing. It creates economic value by reducing demand uncertainty, which enables a better screening of positive NPV projects. Entrepreneurial moral hazard threatens this effect. Using mechanism design, mechanisms are...

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...

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...

We study a dynamic contracting problem in which size is relevant. The agent may take on excessive risk to enhance short-term gains, which exposes the principal to large, infrequent losses. To preserve incentive compatibility, the optimal contract uses size as an instrument; there is downsizing...

We introduce uncertainty into Holmstrom and Milgrom (1987) to study optimal long-term contracting with learning. In a dynamic relationship, the agent's shirking not only reduces current performance but also increases the agent’s information rent due to the persistent belief manipulation...

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...