Asymmetric employer learning and gender-based statistical discrimination in China

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-08-20 DOI:10.1016/j.chieco.2024.102258
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Abstract

We test if employers in China learn asymmetrically about worker's productivity and the implication on statistical discrimination against women. Using data from the 2018 survey of China Family Panel Studies (CFPS), we find evidence of asymmetric employer learning for non-college graduate workers. Furthermore, employers statistically discriminate against female workers without college education at time of hiring. This statistical discrimination against women does not decrease over time because asymmetric employer learning is found to occur mostly for men. In contrast, no evidence of employer learning or statistical discrimination against women is found for college graduate workers.

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中国不对称的雇主学习和基于性别的统计歧视
我们检验了中国的雇主是否以非对称的方式学习工人的生产率,以及这对女性统计歧视的影响。利用2018年中国家庭面板研究(CFPS)的调查数据,我们发现了雇主对非大学毕业生工人的非对称学习证据。此外,在招聘时,雇主对未受过大学教育的女性员工存在统计歧视。这种对女性的统计歧视并没有随着时间的推移而减少,因为非对称雇主学习主要发生在男性身上。与此相反,在大学毕业生中没有发现雇主学习或统计上歧视女性的证据。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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