Monopolistic Screening under Learning By Doing

This article investigates the design of incentives in a dynamic adverse selection framework where agents' production technologies display learning effects and agents' learning rates are private knowledge. In a simple two-period model with full commitment available to the principal, we show that whether learning effects are overor underexploited crucially depends on whether more efficient agents also learn faster (so costs diverge through learning effects) or whether it is the less efficient agents who learn faster (so costs converge). We further show that an overexploitation of learning effects can occur also if the full-commitment assumption is relaxed. Socioeconomic Institute Sozialökonomisches Institut Working Paper No. 0718 Monopolistic Screening under Learning By Doing