G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w26861
来源IDWorking Paper 26861
Reasonable Doubt: Experimental Detection of Job-Level Employment Discrimination
Patrick M. Kline; Christopher R. Walters
发表日期2020-03-16
出版年2020
语种英语
摘要This paper develops methods for detecting discrimination by individual employers using correspondence experiments that send fictitious resumes to real job openings. We establish identification of higher moments of the distribution of job-level callback rates as a function of the number of resumes sent to each job and propose shape-constrained estimators of these moments. Applying our methods to three experimental datasets, we find striking job-level heterogeneity in the extent to which callback probabilities differ by race or sex. Estimates of higher moments reveal that while most jobs barely discriminate, a few discriminate heavily. These moment estimates are then used to bound the share of jobs that discriminate and the posterior probability that each individual job is engaged in discrimination. In a recent experiment manipulating racially distinctive names, we find that at least 85% of jobs that contact both of two white applications and neither of two black applications are engaged in discrimination. To assess the potential value of our methods for regulators, we consider the accuracy of decision rules for investigating suspicious callback behavior in various experimental designs under a simple two-type model that rationalizes the experimental data. Though we estimate that only 17% of employers discriminate on the basis of race, we find that an experiment sending 10 applications to each job would enable detection of 7-10% of discriminatory jobs while yielding Type I error rates below 0.2%. A minimax decision rule acknowledging partial identification of the distribution of callback rates yields only slightly fewer investigations than a Bayes decision rule based on the two-type model. These findings suggest illegal labor market discrimination can be reliably monitored with relatively small modifications to existing correspondence designs.
主题Econometrics ; Estimation Methods ; Experimental Design ; Labor Economics ; Labor Discrimination ; Other ; Law and Economics
URLhttps://www.nber.org/papers/w26861
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/584534
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Patrick M. Kline,Christopher R. Walters. Reasonable Doubt: Experimental Detection of Job-Level Employment Discrimination. 2020.
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