Arbeitspapier

The intergenerational transfer of the employment gender gap

Despite well-documented convergence during the later years of the 20th century, labor market attachment remains markedly higher for men than for women. The current paper employs rich longitudinal registry data to investigate the intergenerational transfer of the gender gap in employment. We explore the extent that family- and community-level characteristics, measured in childhood, differentially predict employment for adult Norwegian men and women. Drawing on theories pertaining to the importance of information, skills and gender norms transfer, our empirical analysis demonstrates that a parsimonious set of family- and community-level characteristics can explain a substantial part of the gender gap. These results suggest that female employment continues to be influenced by the intergenerational transfer of beliefs and expectations about family and work.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 767

Klassifikation
Wirtschaft
Economics of Gender; Non-labor Discrimination
Labor Force and Employment, Size, and Structure
Household Production and Intrahousehold Allocation
Economic History: Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy: General, International, or Comparative
Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Thema
Gender gap
Employment
Labor force particiaption
Intergenerational transfer

Ereignis
Geistige Schöpfung
(wer)
Haaland, Venke Furre
Rege, Mari
Telle, Kjetil
Votruba, Mark
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Haaland, Venke Furre
  • Rege, Mari
  • Telle, Kjetil
  • Votruba, Mark
  • Statistics Norway, Research Department

Entstanden

  • 2014

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