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The association between graduates’ field of study and occupational attainment in West Germany, 1980–2008
[Der Zusammenhang zwischen Studienfach und beruflichem Erfolg von Hochschulabsolventen in Westdeutschland]

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  • Markus Klein

    (University of Strathclyde)

Abstract

Over the course of higher education expansion and growing numbers of graduates, employers are supposed to have increasing difficulties to regard a higher education degree as reliable signal for productivity. As a consequence, they may take into account ‘qualitative’ differences such as graduates’ field of study more often than in previous times when hiring labour market entrants. Both from a supply- and demand-side perspective graduates from humanities, social services or arts may be increasingly disadvantaged in terms of labour market outcomes compared to graduates from science, technology, engineering and mathematics over time. The article tests this argumentation by assessing changes in the relationship between graduates’ field of study and risk of unemployment as well as access to the service class in West Germany between 1980 and 2008. Changes in returns to field of study may contribute to growing (social) inequalities among graduates amidst educational expansion and are therefore important to consider. Based on Microcensus data, the results show that field of study differences in terms of both labour market outcomes did not increasingly diverge over time. The paper concludes that due to a limited educational expansion and the prevalence of an occupationally segmented labour market higher education remains a good investment in terms of labour market returns in West Germany irrespective of graduates’ field of study.

Suggested Citation

  • Markus Klein, 2016. "The association between graduates’ field of study and occupational attainment in West Germany, 1980–2008 [Der Zusammenhang zwischen Studienfach und beruflichem Erfolg von Hochschulabsolventen in We," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(1), pages 43-58, July.
    • Handle: RePEc:spr:jlabrs:v:49:y:2016:i:1:d:10.1007_s12651-016-0201-5
    DOI: 10.1007/s12651-016-0201-5
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    1. Paglin, Morton & Rufolo, Anthony M, 1990. "Heterogeneous Human Capital, Occupational Choice, and Male-Female Earnings Differences," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 123-144, January.
    2. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    3. Stiglitz, Joseph E, 1975. "The Theory of "Screening," Education, and the Distribution of Income," American Economic Review, American Economic Association, vol. 65(3), pages 283-300, June.
    4. Oesch, Daniel & Rodriguez Menes, Jorge, 2010. "Upgrading or polarization? Occupational change in Britain, Germany, Spain and Switzerland, 1990-2008," MPRA Paper 21040, University Library of Munich, Germany.
    5. Anna Kim;Ki-Wan Kim, 2003. "Returns to Tertiary Education in Germany and the UK: Effects of Fields of Study and Gender," MZES Working Papers 62, MZES.
    6. Thomas N. Daymonti & Paul J. Andrisani, 1984. "Job Preferences, College Major, and the Gender Gap in Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 19(3), pages 408-428.
    7. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    8. Brown, Charles & Corcoran, Mary, 1997. "Sex-Based Differences in School Content and the Male-Female Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 431-465, July.
    9. Mitra, Aparna, 2002. "Mathematics skill and male-female wages," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 31(5), pages 443-456.
    10. Michael Gebel & Friedhelm Pfeiffer, 2010. "Educational Expansion and Its Heterogeneous Returns for Wage Workers," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(1), pages 19-42.
    11. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    12. Heijke,Hans & Meng,Christoph & Ramaekers,Ger, 2003. "An investigation into the role of human capital competences and their pay-off," ROA Research Memorandum 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    13. Felix Weiss & Markus Klein & Thomas Grauenhorst, 2014. "The effects of work experience during higher education on labour market entry: learning by doing or an entry ticket?," Work, Employment & Society, British Sociological Association, vol. 28(5), pages 788-807, October.
    14. Walker, Ian & Zhu, Yu, 2005. "The College Wage Premium, Overeducation, and the Expansion of Higher Education in the UK," IZA Discussion Papers 1627, Institute of Labor Economics (IZA).
    15. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    16. David Marsden, 1990. "Institutions and Labour Mobility: Occupational and Internal Labour Markets in Britain, France, Italy and West Germany," International Economic Association Series, in: Renato Brunetta & Carlo Dell’Aringa (ed.), Labour Relations and Economic Performance, chapter 17, pages 414-438, Palgrave Macmillan.
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    3. Jessica Ordemann & Friedhelm Pfeiffer, 2022. "The evolution of educational wage differentials for women and men in Germany, from 1996 to 2019," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-12, December.

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