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.

© 2022 The President and Fellows of Harvard College and the Massachusetts Institute of Technology
2022
The President and Fellows of Harvard College and the Massachusetts Institute of Technology

Supplementary data

Supplemental Appendix
- pdf file
You do not currently have access to this content.