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  1. Are recruiters reluctant to hire parttime working men?
    evidence from online labor market data
    Author: Kopp, Daniel
    Published: 2022-12
    Publisher:  KOF, Zurich, Switzerland

    Part-time work is a popular way to reconcile work and family obligations. This study uses large-scale observational data from an online recruitment platform and an online job board to examine how easy it is to get a part-time job and whether this... more

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    Resolving-System (kostenfrei)
    Resolving-System (kostenfrei)
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 297
    No inter-library loan

     

    Part-time work is a popular way to reconcile work and family obligations. This study uses large-scale observational data from an online recruitment platform and an online job board to examine how easy it is to get a part-time job and whether this depends on the gender of a jobseeker. First, I relate the number of hours stated on job advertisements to the gender preferences of firms indicated in a confidential online form. Second, I analyze hiring decisions of recruiters who navigate through jobseeker profiles. I estimate contact penalties for male and female jobseekers looking for part-time jobs by applying supervised machine learning to control for all relevant jobseeker characteristics visible to recruiters and by exploiting within jobseeker changes of hours preferences over time. I find that recruiters prefer full-time over part-time workers and that the part-time penalty is much more pronounced for men than for women, even when comparing applicants for the same position. Hence, the gender differences cannot be explained by differences in job or workplace characteristics. Instead, the preponderance of evidence points towards bias coming from gender stereotypes.

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 20.500.11850/586460
    hdl: 10419/278253
    Edition: This version: December 9, 2022
    Series: KOF working papers ; no. 508 (December 2022)
    Subjects: Recruitment; part-time; gender equality; hiring; online labor markets
    Scope: 1 Online-Ressource (circa 84 Seiten), Illustrationen
  2. Do recruiters penalize men who prefer low hours?
    evidence from online labor market data
    Author: Kopp, Daniel
    Published: March 2024
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    Part-time work is a popular way to reconcile work and family responsibilities. This study investigates how easy it is for men and women to get part-time jobs. To assess this question, I first analyze the hiring decisions of recruiters who screen... more

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 4
    No inter-library loan

     

    Part-time work is a popular way to reconcile work and family responsibilities. This study investigates how easy it is for men and women to get part-time jobs. To assess this question, I first analyze the hiring decisions of recruiters who screen jobseekers on an online recruiting platform and estimate contact penalties for men and women seeking part-time jobs. Second, I relate the number of hours advertised in online job postings to firms' confidentially reported gender preferences. I find that recruiters prefer full-time over part-time workers, and that part-time penalties are more pronounced for men than for women. Differences in job or workplace characteristics cannot explain these results. Instead, the preponderance of evidence points to bias due to gender stereotypes.

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper series / IZA ; no. 16845
    Subjects: recruitment; part-time; gender equality; hiring; online labor markets
    Scope: 1 Online-Ressource (circa 70 Seiten), Illustrationen