Contracting with Repeated Moral Hazard and Private Evaluations

A repeated moral hazard setting in which the Principal privately observes the Agentfs output is studied. It is shown that there is no loss from restricting the analysis to contracts in which the Agent is supposed to exert effort every period, receives a constant efficiency wage and no feedback until he is fired. The optimal contract for a finite horizon is characterized, and shown to require burning of resources. These are only burnt after the worst possible realization sequence and the amount is independent of both the length of the horizon and the discount factor (ƒÂ). For the infinite horizon case a family of fixed interval review contracts is characterized and shown to achieve first best as ƒÂ ¨ 1. The optimal contract when ƒÂ << 1 is partially characterized. Incentives are optimally provided with a combination of efficiency wages and the threat of termination, which will exhibit memory over the whole history of realizations. Finally, Tournaments are shown to provide an alternative solution to the problem.