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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Ariane Bertogg
  • Christian Imdorf
  • Christer Hyggen
  • Dimitris Parsanoglou
  • Rumiana Stoilova

Organisationseinheiten

Externe Organisationen

  • Universität Konstanz
  • Bulgarian Academy of Sciences (BAS)
  • Panteion-Universität Athen
  • Oslomet – Metropoluniversität
Forschungs-netzwerk anzeigen

Details

Titel in ÜbersetzungGeschlechterdiskriminierung bei der Stellenbesetzung von Fachkräften in zwei männlich dominierten Berufen: Eine Vignettenstudie mit realen Stelleninseraten und Personalverantwortlichen in vier europäischen Ländern
OriginalspracheEnglisch
Seiten (von - bis)261-289
Seitenumfang29
FachzeitschriftKölner Zeitschrift für Soziologie und Sozialpsychologie
Jahrgang72
Frühes Online-Datum1 Juli 2020
PublikationsstatusVeröffentlicht - Sept. 2020

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 discrimination might be at work.

Schlagwörter

    Comparative study, Gender Gap, Recruiting, STEM, Vacancies, Vignette Study

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title = "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",
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{\textquoteright} 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 discrimination might be at work.",
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author = "Ariane Bertogg and Christian Imdorf and Christer Hyggen and Dimitris Parsanoglou and Rumiana Stoilova",
note = "Funding Information: Open Access funding provided by Projekt DEAL. Acknowledgements Funding Funding Information: The authors would like to thank the three anonymous reviewers, the guest editors, as well as Robin Samuel and Tamara Gutfleisch for helpful comments on earlier versions of this manuscript. This study was partly funded by the Horizon 2020 project ?Negotiating early job-insecurity and labour market exclusion in Europe?NEGOTIATE? (Horizon 2020, Societal Challenge?6, H2020?YOUNG-SOCIETY-2014, YOUNG-1-2014).",
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journal = "K{\"o}lner Zeitschrift f{\"u}r Soziologie und Sozialpsychologie",
issn = "0023-2653",
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T1 - Gender Discrimination in the Hiring of Skilled Professionals in Two Male-Dominated Occupational Fields

T2 - A Factorial Survey Experiment with Real-World Vacancies and Recruiters in Four European Countries

AU - Bertogg, Ariane

AU - Imdorf, Christian

AU - Hyggen, Christer

AU - Parsanoglou, Dimitris

AU - Stoilova, Rumiana

N1 - Funding Information: Open Access funding provided by Projekt DEAL. Acknowledgements Funding Funding Information: The authors would like to thank the three anonymous reviewers, the guest editors, as well as Robin Samuel and Tamara Gutfleisch for helpful comments on earlier versions of this manuscript. This study was partly funded by the Horizon 2020 project ?Negotiating early job-insecurity and labour market exclusion in Europe?NEGOTIATE? (Horizon 2020, Societal Challenge?6, H2020?YOUNG-SOCIETY-2014, YOUNG-1-2014).

PY - 2020/9

Y1 - 2020/9

N2 - 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 discrimination might be at work.

AB - 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 discrimination might be at work.

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KW - Gender Gap

KW - Recruiting

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KW - Vacancies

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