Upon observing a signal, a Bayesian decision maker updates her probability distribution over the state space, chooses an action, and receives a payoff that depends on the state and the action taken. An information structure determines the set of possible signals and the probability of each...

We study the design of contracts that incentivize experts to collect information and truthfully report it to a decision maker. We depart from most of the previous literature by assuming that the transfers cannot depend on the realized state or on the ex post payoff of the decision maker. The...

A planner wants to elicit information about an agent's preference relation, but not the entire ordering. Specifically, preferences are grouped into “types,” and the planner wants only to elicit the agent's type. We first assume that beliefs about randomization are subjective, and show that a...