具有单维隐藏特征的激励问题:一种统一的方法

M. Hellwig
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引用次数: 47

摘要

本文提出了一种不依赖于类型集是否为整数、类型分布是否具有连续密度、类型分布是否既有质量点又有无原子部分的一维隐藏特征激励问题的研究方法。通过这种技术,将最优激励方案在“顶端”不产生扭曲、在“顶端以下”不产生向下扭曲的命题推广到任意类型的分布。然而,类型集内部的质量点需要与相邻的较高类型池化,除非有其他复杂情况,否则在从相邻的较低类型过渡时需要不连续的跳跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incentive Problems with Unidimensional Hidden Characteristics: A Uni…fied Approach
The paper develops a technique for studying incentive problems with unidimensional hidden characteristics in a way that is independent of whether the type set is nite, the type distribution has a continuous density, or the type distribution has both mass points and an atomless part. By this technique, the proposition that optimal incentive schemes induce no distortion "at the top" and downward distortions "below the top" is extended to arbitrary type distributions. However, mass points in the interior of the type set require pooling with adjacent higher types and, unless there are other complications, a discontinuous jump in the transition from adjacent lower types.
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