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...

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...

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...

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...

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...