Incentive efficient production frontiers: an agency perspective on DEA
Incentive efficient production frontiers: an agency perspective on DEA
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DOI：
10.1287/mnsc.40.8.959
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发表时间：
1994-08
影响因子：
5.4
通讯作者：
P. Bogetoft
中科院分区：
文献类型：
--
作者：
P. Bogetoft
在本文中，我们研究如何经验生产前沿可能有助于生产单位的激励。我们考虑了一系列的数据包络分析DEA前沿，我们表明，当这些可能是激励有效的意义上说，他们包含的所有信息，是相关的最佳激励条款。考虑的前沿包括所谓的恒定，减少和变化的规模回报模型，自由处置和自由复制模型，以及增加和减少的规模回报模型的基础上一套宽松的假设。此外，我们说明了如何设计最佳的激励方案的基础上，这样的前沿。内容：1.第二章介绍。激励问题3生产前沿和生产力措施，4。激励高效生产前沿，5。第六章.第七章.最后备注，数学附录，参考文献。
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.