Gender Discrimination in the Hiring of Skilled Professionals in Two Male-Dominated Occupational Fields: A Factorial Survey Experiment with Real-World Vacancies and Recruiters in Four European Countries

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Bertogg, A.; Imdorf, C.; Hyggen, C.; Parsanoglou, D.; Stoilova, R.: Gender Discrimination in the Hiring of Skilled Professionals in Two Male-Dominated Occupational Fields: A Factorial Survey Experiment with Real-World Vacancies and Recruiters in Four European Countries. In: KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie 72 (2020), S. 261-289. DOI: https://doi.org/10.1007/s11577-020-00671-6

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/9917

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Sum total of downloads: 194




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Abstract: 
The present article investigates gender discrimination in recruitment for two male-dominated occupations (mechanics and IT professionals). We empirically test two different explanatory approaches to gender discrimination in hiring; namely, statistical discrimination and taste-based discrimination. Previous studies suggest that, besides job applicants’ characteristics, organisational features play a role in hiring decisions. Our article contributes to the literature on gender discrimination in the labour market by investigating its opportunity structures located at the recruiter, job and company level, and how gender discrimination varies across occupations and countries.The analysed data come from a factorial survey experiment conducted in four countries (Bulgaria, Greece, Norway and Switzerland). Real job advertisements were sampled, and the recruiters in charge of hiring for these positions (n = 1,920) rated up to ten hypothetical CVs (vignettes). We find gender discrimination in Bulgaria and Greece and to a lesser degree in Switzerland, but not in Norway. The degree of gender discrimination appears to be greater in mechanics than in IT. Multivariate analyses that test a number of opportunity structures for discrimination suggest that mechanisms of statistical discrimination rather than those of taste-based discrimina- tion might be at work.
License of this version: CC BY 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2020
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 102 52.58%
2 image of flag of United States United States 30 15.46%
3 image of flag of Russian Federation Russian Federation 12 6.19%
4 image of flag of United Kingdom United Kingdom 7 3.61%
5 image of flag of Czech Republic Czech Republic 6 3.09%
6 image of flag of No geo information available No geo information available 5 2.58%
7 image of flag of Netherlands Netherlands 4 2.06%
8 image of flag of Spain Spain 4 2.06%
9 image of flag of Denmark Denmark 2 1.03%
10 image of flag of Switzerland Switzerland 2 1.03%
    other countries 20 10.31%

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