Why do occupations dominated by women pay less? How ‘female-typical’ work tasks and working-time arrangements affect the gender wage gap among higher education graduates

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Leuze, K.; Strauß, S.: Why do occupations dominated by women pay less? How ‘female-typical’ work tasks and working-time arrangements affect the gender wage gap among higher education graduates. In: Work, Employment and Society 30 (2016), Nr. 5, S. 802-820. DOI: https://doi.org/10.1177/0950017015624402

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Sum total of downloads: 159




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Abstract: 
Even though women today constitute the majority of higher education graduates, they still earn considerably less than their male counterparts. Previous research demonstrates that occupational sex segregation is important for understanding the gender wage gap, since occupations dominated by women pay less; yet less is known about why this is the case. This article explores two possible mechanisms: the devaluation of ‘female-typical’ work tasks and working-time arrangements. Hypotheses are tested by applying OLS regression and Blinder-Oaxaca decomposition analyses to the log hourly wages of a representative sample of German higher education graduates from 2001. Results confirm that occupational overtime increases and occupational part-time work decreases wages, indicating that occupations dominated by women pay less due to their ‘female-typical’ working-time arrangements. However, inconsistent with the devaluation thesis, tasks like teaching/educating increase wages for women, too, which speaks against a general lower value of ‘female-typical’ tasks, at least among the highly qualified.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Philosophische Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 50 31.45%
2 image of flag of United States United States 40 25.16%
3 image of flag of United Kingdom United Kingdom 27 16.98%
4 image of flag of India India 4 2.52%
5 image of flag of Ireland Ireland 4 2.52%
6 image of flag of Switzerland Switzerland 4 2.52%
7 image of flag of Kenya Kenya 3 1.89%
8 image of flag of China China 3 1.89%
9 image of flag of Canada Canada 3 1.89%
10 image of flag of Netherlands Netherlands 2 1.26%
    other countries 19 11.95%

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