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
Qian Sun
{"title":"Asymmetric employer learning and gender-based statistical discrimination in China","authors":"Qian Sun","doi":"10.1016/j.chieco.2024.102258","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"87 ","pages":"Article 102258"},"PeriodicalIF":5.2000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国经济评论","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1043951X24001470","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Quenching thirst, easing debt: Improvement in water resource endowment alleviates local government debt risk Infrastructure and the patterns of trade: An empirical look at China Cognitive ability in matching with strategic uncertainty: An experimental study Follow the gaze: How social attention shapes gendered trading choices Did the anti-avoidance rules curtail the profit shifting of foreign multinationals in China?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1