统计歧视的搜索模型

Jiadong Gu, P. Norman
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引用次数: 6

摘要

我们提供了一个统计歧视的搜索理论模型,在这个模型中,公司根据他们的职业选择不平等地对待相同的群体。该模型允许忽略群体特征的对称均衡,但也允许在统计上歧视群体的不对称均衡,即使对称均衡是唯一的。此外,当引入群特征时,对称均衡有可能变得不稳定。与之前的大多数文献不同,我们的模型可以为平权行动辩护,因为它在不扭曲激励的情况下消除了不对称均衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Search Model of Statistical Discrimination
We offer a search-theoretic model of statistical discrimination, in which firms treat identical groups unequally based on their occupational choices. The model admits symmetric equilibria in which the group characteristic is ignored, but also asymmetric equilibria in which a group is statistically discriminated against, even when symmetric equilibria are unique. Moreover, a robust possibility is that symmetric equilibria become unstable when the group characteristic is introduced. Unlike most previous literature, our model can justify affirmative action since it eliminates asymmetric equilibria without distorting incentives.
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