Artikel

Patterns of overeducation in Europe: The role of field of study

This study investigates the incidence of overeducation among graduate workers in 21 European Union countries and its underlying factors based on the European Labor Force Survey 2016. Although controlling for a wide range of covariates, the particular interest lies in the role of fields of study for vertical educational mismatch. The study reveals country differences in the impact of these factors. Compared to Social sciences, male graduates from, for example, Education, Health and welfare, Engineering, and ICT (Information and Communication Technologies) are less and those from Services and Natural sciences are more at risk in a clear majority of countries. These findings are robust against changes of the standard education. Moreover, some fields show gender-specific risks. We suggest that occupational closure, productivity signals and gender stereotypes answer for these cross-field and cross-country differentials. Moreover, country fixed effects point to relevant structural differences between national labor markets and between educational systems.

Language
Englisch

Bibliographic citation
Journal: IZA Journal of Labor Policy ; ISSN: 2193-9004 ; Volume: 9 ; Year: 2019 ; Issue: 1 ; Pages: 1-48 ; Warsaw: Sciendo

Classification
Wirtschaft
Human Capital; Skills; Occupational Choice; Labor Productivity
Labor Force and Employment, Size, and Structure
Time Allocation and Labor Supply
Subject
college major
country-specific effects
EU countries
field of study
gender
labor force survey
overeducation
realized matches
vertical mismatch

Event
Geistige Schöpfung
(who)
Rossen, Anja
Boll, Christina
Wolf, André
Event
Veröffentlichung
(who)
Sciendo
(where)
Warsaw
(when)
2019

DOI
doi:10.2478/izajolp-2019-0003
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Rossen, Anja
  • Boll, Christina
  • Wolf, André
  • Sciendo

Time of origin

  • 2019

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