Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/262109 
Autor:innen: 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
ECONtribute Discussion Paper No. 165
Verlag: 
University of Bonn and University of Cologne, Reinhard Selten Institute (RSI), Bonn and Cologne
Zusammenfassung: 
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.
Schlagwörter: 
Gender
Academia
Bernoulli Sequences
Hypothesis Testing
JEL: 
J71
C12
C18
Dokumentart: 
Working Paper

Datei(en):
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