A Bias of Screening

IF 8.1 1区 经济学 Q1 ECONOMICS American Economic Review-Insights Pub Date : 2019-09-01 DOI:10.1257/aeri.20180578
David Lagziel, E. Lehrer
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引用次数: 4

Abstract

This paper deals with the issue of screening. It focuses on a decision maker who, based on noisy unbiased assessments, screens elements from a general set. Our analysis shows that stricter screening not only reduces the number of accepted elements, but possibly reduces their average expected value. We provide a characterization for optimal threshold strategies for screening and also derive implications to cases where such screening strategies are suboptimal. We further provide various applications of our results to credit ratings, auctions, general trade, the Peter Principle, and affirmative action. (JEL C38, D44, F10, G24, J15)
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筛选的偏差
本文讨论筛选问题。它关注的是一个决策者,他基于嘈杂的无偏见评估,从一般集合中筛选元素。我们的分析表明,更严格的筛选不仅减少了可接受元素的数量,而且可能降低了它们的平均期望值。我们提供了筛选的最佳阈值策略的特征,并得出了这种筛选策略次优的情况的含义。我们进一步提供了我们的结果在信用评级、拍卖、一般贸易、彼得原则和平权行动中的各种应用。(JEL C38,D44,F10,G24,J15)
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期刊介绍: The journal American Economic Review: Insights (AER: Insights) is a publication that caters to a wide audience interested in economics. It shares the same standards of quality and significance as the American Economic Review (AER) but focuses specifically on papers that offer important insights communicated concisely. AER: Insights releases four issues annually, covering a diverse range of topics in economics.
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