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一份歧视报告卡

A Discrimination Report Card
American Economic Review · 2024 · Patrick Kline、Evan K. Rose、Christopher R. Walters

中文摘要

我们开发了一种经验贝叶斯排序程序,该程序为带有噪声的测量值分配序数等级,在所赋等级的信息含量与排序错误的预期发生频率之间取得平衡。我们将该方法应用于一项大规模通信实验,对97家美国雇主在种族和性别方面的联系差距进行评级,并首次披露这些雇主的身份。评级结果与各企业联系差距的不确定性度量一并呈现在一份通俗易懂的报告卡中;该报告卡也易于适配其他同时关注排序和水平的场景。(JEL C11, D22, J15, J16, J71)

Abstract

We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy measurements, balancing the information content of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the race and gender contact gaps of 97 US employers, the identities of which we disclose for the first time. The grades are presented alongside measures of uncertainty about each firm’s contact gap in an accessible report card that is easily adaptable to other settings where ranks and levels are of simultaneous interest. (JEL C11, D22, J15, J16, J71)
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