Incentive Efficient Production Frontiers: An Agency Perspective on DEA
探讨实证生产前沿如何影响生产单元的激励，分析多种DEA模型在何种条件下能包含最优激励所需信息，并展示如何基于这些前沿设计激励方案。
In this paper, we examine how empirical production frontiers may contribute to the incentives of production units. We consider a series of Data Envelopment Analysis (DEA) frontiers, and we show when these may be incentive efficient in the sense that they contain all the information that are relevant for optimal incentive provision. The frontiers considered include the so-called constant, decreasing and varying return to scale models, the free disposability and the free replicability models, as well as the increasing and decreasing return to scale models based on a relaxed set of assumptions. Also, we illustrate how to design optimal incentive schemes based on such frontiers. Contents: 1. Introduction, 2. The Incentive Problem, 3. Production Frontiers and Productivity Measures, 4. Incentive Efficient Production Frontiers, 5. Extensions, 6. An Example, 7. Final Remarks, Mathematical Appendix, References.