经管双周论坛第9期 | Gender Reveals in the Labor Market: Evidence on Gender Signaling and Statistical Discrimination in an Online Health Care Market

发布时间:2024-06-05浏览次数:865

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时 间:2024年6月12日(星期三)13:30-15:00

地 点:普陀校区理科大楼A1114(线下)& 腾讯会议:835-133-091(线上)

题 目:Gender Reveals in the Labor Market: Evidence on Gender Signaling and Statistical Discrimination in an Online Health Care Market

主讲人:翁茜,中国人民大学劳动人事学院副教授

主持人:龚冰琳,经济与管理学院研究员


内容简介:A recent approach to testing for customer statistical discrimination involves studying price gaps between sellers from different groups and how they evolve as buyers obtain more information about seller quality. We consider a similar setting, testing for statistical discrimination against female doctors in an online health care market. But in this setting this kind of analysis of price differences does not provide evidence on statistical discrimination because doctors have a choice about how strongly to signal gender. We develop a new approach to identifying statistical discrimination using doctors’ choices about signaling their gender. We find evidence of statistical discrimination against female doctors in male-dominated fields, and against male doctors in female-dominated fields. In particular, female doctors mask gender more strongly initially in male-dominated fields, and male doctors do the same in female-dominated fields. But in both female- and male-dominated fields the gender gap in signaling decreases with number of customer reviews of doctors. More generally, our evidence indicates how, in some markets, sellers may be able to reduce statistical discrimination by masking their group membership.


主讲人简介:翁茜,现任中国人民大学劳动人事学院副教授,研究领域为行为与实验经济学和劳动经济学。近年来在Economic Journal、Journal of Labor Economics、Journal of Public Economics 等国际一流学术期刊上发表多篇论文。主持国家自然科学基金、教育部人文社会科学研究基金、中国人民大学科学研究基金等多个项目。



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