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Mind the Gap? Estimating the Effects of Postponing Higher Education

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Listed:
  • Bertil Holmlund
  • Qian Liu
  • Oskar Nordström Skans

Abstract

This paper estimates the effects on earnings of “gap years” between high school and university enrollment. The effect is estimated by means of standard earnings functions augmented to account for gap years and a rich set of control variables using administrative Swedish data. We find that postponement of higher education is associated with a persistent and non-trivial earnings penalty. The main source of the persistent penalty appears to be the loss of work experience after studies. The reduction of lifetime earnings associated with two years postponement of higher education amounts to 40-50 percent of annual earnings at age 40.

Suggested Citation

  • Bertil Holmlund & Qian Liu & Oskar Nordström Skans, 2006. "Mind the Gap? Estimating the Effects of Postponing Higher Education," CESifo Working Paper Series 1792, CESifo.
  • Handle: RePEc:ces:ceswps:_1792
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    References listed on IDEAS

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    1. Gronau, Reuben, 1988. "Sex-Related Wage Differentials and Women's Interrupted Labor Careers--The Chicken or the Egg," Journal of Labor Economics, University of Chicago Press, vol. 6(3), pages 277-301, July.
    2. Oskar Nordström Skans & Per-Anders Edin & Bertil Holmlund, 2009. "Wage Dispersion Between and Within Plants: Sweden 1985-2000," NBER Chapters, in: The Structure of Wages: An International Comparison, pages 217-260, National Bureau of Economic Research, Inc.
    3. V. Joseph Hotz & Lixin Colin Xu & Marta Tienda & Avner Ahituv, 2002. "Are There Returns To The Wages Of Young Men From Working While In School?," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 221-236, May.
    4. Mincer, Jacob & Polachek, Solomon, 1974. "Family Investment in Human Capital: Earnings of Women," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 76-108, Part II, .
    5. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    6. Mary Corcoran & Greg J. Duncan, 1979. "Work History, Labor Force Attachment, and Earnings Differences between the Races and Sexes," Journal of Human Resources, University of Wisconsin Press, vol. 14(1), pages 3-20.
    7. Blinder, Alan S & Weiss, Yoram, 1976. "Human Capital and Labor Supply: A Synthesis," Journal of Political Economy, University of Chicago Press, vol. 84(3), pages 449-472, June.
    8. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, October.
    9. repec:bla:scandj:v:82:y:1980:i:2:p:291-303 is not listed on IDEAS
    10. Comay, Yochanan & Melnik, A & Pollatschek, M A, 1973. "The Option Value of Education and the Optimal Path for Investment in Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 421-435, June.
    11. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2003. "Fifty Years of Mincer Earnings Regressions," NBER Working Papers 9732, National Bureau of Economic Research, Inc.
    12. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    13. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    14. James W. Albrecht & Per-Anders Edin & Marianne Sundström & Susan B. Vroman, 1999. "Career Interruptions and Subsequent Earnings: A Reexamination Using Swedish Data," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 294-311.
    15. Jacob Mincer & Haim Ofek, 1982. "Interrupted Work Careers: Depreciation and Restoration of Human Capital," Journal of Human Resources, University of Wisconsin Press, vol. 17(1), pages 3-24.
    16. Altonji, Joseph G, 1993. "The Demand for and Return to Education When Education Outcomes Are Uncertain," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 48-83, January.
    17. Monks, James, 1997. "The impact of college timing on earnings," Economics of Education Review, Elsevier, vol. 16(4), pages 419-423, October.
    18. Light, Audrey & Ureta, Manuelita, 1995. "Early-Career Work Experience and Gender Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 13(1), pages 121-154, January.
    19. Mary Corcoran & Greg J. Duncan & Michael Ponza, 1983. "A Longitudinal Analysis of White Women's Wages," Journal of Human Resources, University of Wisconsin Press, vol. 18(4), pages 497-520.
    20. Audrey Light, 1995. "The Effects of Interrupted Schooling on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 472-502.
    21. Richard D. Marcus, 1984. "Measuring the Rate of Return to Interrupted Schooling," Journal of Educational and Behavioral Statistics, , vol. 9(4), pages 295-310, December.
    22. Jeremy Smith & Robin Naylor, 2001. "Determinants of Degree Performance in UK Universities: A Statistical Analysis of the 1993 Student Cohort," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 29-60, February.
    23. Nordström Skans, Oskar & Liljeberg, Linus, 2005. "Causal effects of subsidized career breaks," Working Paper Series 2005:17, IFAU - Institute for Evaluation of Labour Market and Education Policy.
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    Keywords

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    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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