Testing the Presence of Implicit Hiring Quotas with Application to German Universities

• 成果类型: Article
• 署名作者: Janys, Lena
• 署名单位: Newcastle University - UK; IZA Institute Labor Economics
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest_a_01195
• 发表日期: 2024-05
• 页码: 627-637
• 关键词: gender; diversity; women

摘要

Women are underrepresented in academia in general and economics in particular. I introduce a test to detect an underresearched form of hiring bias: implicit quotas. I derive a test under the null hypothesis of gender-blind hiring that requires no additional information about individual hires and can be used to analyze hiring bias in a variety of other hiring settings. I derive its asymptotic distribution and propose a parametric bootstrap procedure that resamples from the exact distribution. I analyze the distribution of female professors at German universities and find an implicit quota of one or two women on the department level.