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Labour market job matching for UK minority ethnic groups

Author

Listed:
  • Shirley Dex
  • Jo Lindley

    (Department of Economics, The University of Sheffield)

Abstract

The paper devises a new method of calculating whether individuals are over educated using a parametric model. This new method is applied to men and women from different ethnic groups using data drawn from 4 pooled cross-sections of the UK Labour Force Survey. Calibrated against existing mean-mode methods, the new approach leads to lower levels of over education, more so for men than women. The model is then extended to include non-qualification elements of human capital such as employment experience and job related skills. Model specifications are further varied by educational qualification measures, the presence of children and gender, as well as allowing for full gender segregation by estimating a single equation (pooled men and women) and separate equations (men and women separately). The results show that the while the overall extent of over education has similarities with earlier studies (eg. over-education is more prevalent amongst women than men), the differences between ethnic groups, as well as between minority ethnic groups and White employees, are far less than that found in some earlier studies. Black African men and women had the greatest amount of over education, followed by Chinese women. Bangladeshi women had the lowest rates among women. It is probably possible to explain almost all of the gap in over education rates between white and minority women and men by a combination of factors; differences in working part time, being temporarily over educated and by differences in the quality of educational qualifications.

Suggested Citation

  • Shirley Dex & Jo Lindley, 2007. "Labour market job matching for UK minority ethnic groups," Working Papers 2007003, The University of Sheffield, Department of Economics, revised Jan 2007.
    • Handle: RePEc:shf:wpaper:2007003
    as

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    File URL: http://www.shef.ac.uk/content/1/c6/06/39/93/SERP2007003.pdf
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    File URL: http://www.shef.ac.uk/content/1/c6/06/39/93/SERP2007003.pdf
    File Function: Revised version, 2007
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    References listed on IDEAS

    as
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    15. Joanne Kathryn Lindley & Pamela Lenton, 2006. "The Over-Education of UK Immigrants: Evidence from the Labour Force Survey," Working Papers 2006001, The University of Sheffield, Department of Economics, revised Jan 2006.
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    Cited by:

    1. Lindley, Joanne, 2009. "The over-education of UK immigrants and minority ethnic groups: Evidence from the Labour Force Survey," Economics of Education Review, Elsevier, vol. 28(1), pages 80-89, February.
    2. Jacobs, Valentine & Mahy, Benoît & Rycx, François & Volral, Mélanie, 2019. "The Heterogeneous Effects of Workers' Countries of Birth on Over-Education," IZA Discussion Papers 12705, Institute of Labor Economics (IZA).
    3. McGuinness, Seamus & Byrne, Delma, 2014. "Examining the Relationships between Labour Market Mismatches, Earnings and Job Satisfaction among Immigrant Graduates in Europe," IZA Discussion Papers 8440, Institute of Labor Economics (IZA).
    4. Seamus McGuinness & Luis Ortiz, 2016. "Skill gaps in the workplace: measurement, determinants and impacts," Industrial Relations Journal, Wiley Blackwell, vol. 47(3), pages 253-278, May.
    5. Seamus McGuinness & Delma Byrne, 2015. "Born abroad and educated here: examining the impacts of education and skill mismatch among immigrant graduates in Europe," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-30, December.

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    More about this item

    Keywords

    Qualifications; discrimination; employment; ethnicity;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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