Comparative analysis of the returns to education in Germany and Hungary (2000)
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.
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National Bureau of Economic Research, Inc.
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- Arpad Abraham & Gabor Kezdi, 2000. "Long-run trends in earnings and employment in Hungary, 1972-1996," Budapest Working Papers on the Labour Market 0002, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
- Peter Galasi, 2003. "Estimating wage equations for Hungarian higher-education graduates," Budapest Working Papers on the Labour Market 0304, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
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- Reinhard Hujer & Bernd Fitzenberger & Reinhold Schnabel & Thomas E. MaCurdy, 2001. "Testing for uniform wage trends in West-Germany: A cohort analysis using quantile regressions for censored data," Empirical Economics, Springer, vol. 26(1), pages 41-86. Full references (including those not matched with items on IDEAS)
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