A crucial assumption in the optimal auction literature is that each bidder's valuation is known to be drawn from a unique distribution. In this paper we study the optimal auction problem allowing for ambiguity about the distribution of valuations. Agents may be ambiguity averse (modeled using...

This paper investigates the optimal design of incentives when agents distort probabilities. We show that the type of probability distortion displayed by the agent and its degree determine whether an incentivecompatible contract can be implemented, the strength of the incentives included in the...

This paper studies the design of mechanisms that are robust to misspecification. We introduce a novel notion of robustness that connects a variety of disparate approaches and study its implications in a wide class of mechanism design problems. This notion is quantifiable, allowing us to...

I study a decision problem to maximize seller revenue under a two-dimensional buyer with multiple type space with private information. I consider the general case of a single seller with a single good to sell to buyers with private attribute values arriving over 2 time periods. The seller's...