We examine the power of incentives in bureaucracies by studying contracts offered by a bureaucrat to her agent. The bureaucrat operates under a fixed budget, optimally chosen by a funding authority, and she can engage in policy drift, which we define as inversely related to her intrinsic...

Before embarking on a project, a principal must often rely on an agent to learn about its profitability. We model this learning as a two-armed bandit problem and highlight the interaction between learning (experimentation) and production. We derive the optimal contract for both experimentation...

Rewards to prevent supervisors from accepting bribes create incentives for extortion. This raises the question whether a supervisor who can engage in bribery and extortion can still be useful in providing incentives. By highlighting the role of team work in forging information, we present a...

When a principal’s monitoring information is private (non-verifiable), the agent should be concerned that the principal could misrepresent the information to reduce the agent’s wage or collect a monetary penalty. Restoring credibility may lead to an extreme waste of resources - the so-called...

A principal hires an agent to learn about the cost of a project (experimentation) and then to execute it (production). The agent is privately informed about the probability that the cost is low, with the high-type agent being relatively more optimistic than the low type. The agent also engages...