Testing the Presence of Implicit Hiring Quotas with Application to German Universities
Lena Janys
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Lena Janys: University of Bonn (Department of Economics), Hausdorff Center of Mathematics and IZA
No 165, ECONtribute Discussion Papers Series from University of Bonn and University of Cologne, Germany
Abstract:
Women are underrepresented in academia in general and economics in particular. I introduce a test to detect an under-researched 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.
Keywords: Gender; Academia; Bernoulli Sequences; Hypothesis Testing (search for similar items in EconPapers)
JEL-codes: C12 C18 J71 (search for similar items in EconPapers)
Pages: pages
Date: 2022-05
New Economics Papers: this item is included in nep-lma and nep-sog
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Citations: View citations in EconPapers (1)
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https://www.econtribute.de/RePEc/ajk/ajkdps/ECONtribute_165_2022.pdf First version, 2022 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:ajk:ajkdps:165
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