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Comparative analysis of the returns to education in Germany and Hungary (2000)

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  • Szilvia Hamori

    (Center for Doctoral Studies in Economics & Management of the Univeristy of Mannheim)

Abstract

In this study standard Mincer earnings equations are estimated using both ordinary least squares (OLS) and quantile regression in order to give a comprehensive picture of the returns to education in Germany and Hungary for the year 2000. To make the cross-country comparison of the returns to education informative, six differentiated categories for formal education, rather than years of schooling, are generated and used in the empirical analysis. Moreover, the returns to three and eight field of study groups for Germany and Hungary respectively are estimated in order to shed more light on the valuation of specific university degree. Most importantly, the empirical results provide evidence for the fact that the OLS estimate is not an accurate estimate of the return to education for the population (more specifically for the selected samples). That is, the estimates of the quantile regressions point to the fact that differences in returns to education within educational groups contribute significantly to aggregate earnings inequality, especially in Hungary.

Suggested Citation

  • Szilvia Hamori, 2005. "Comparative analysis of the returns to education in Germany and Hungary (2000)," Budapest Working Papers on the Labour Market 0507, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:bworkp:0507
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    References listed on IDEAS

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    1. Alan B. Krueger & Jorn-Steffen Pischke, 1995. "A Comparative Analysis of East and West German Labor Markets: Before and After Unification," NBER Chapters, in: Differences and Changes in Wage Structures, pages 405-446, National Bureau of Economic Research, Inc.
    2. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    3. Katharine G. Abraham & Susan Houseman, 1995. "Earnings Inequality in Germany," NBER Chapters, in: Differences and Changes in Wage Structures, pages 371-404, National Bureau of Economic Research, Inc.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, October.
    5. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
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    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • 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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