Education in Romania - How much is it Worth?
This paper aims at estimating the impact of education on individual earnings through the econometric modeling of secondary data, for the year 2009 in Romania. The national representative sample used includes 16,570 statistical observations. Surprisingly, the largest impact on Romania’s income is determined by gender. Male income (log) is 26.58% higher than that of females, although data shows, that, on average, women in the sample have more years of education than men. This shows a highly discriminatory phenomenon, which can be solved probably by educational and awareness raising programs, aimed at combating gender-based (wage) discrimination. As regards to the importance of education as a determinant of earnings, we conclude that it is a key determinant of individual income. If in 1995 the coefficient of the variable “years of education” was -0.0019 and in 2000 0.0061, in 2009 it was, according to this study, 0.081652. It shows that in Romania the importance of education has increased, and consequently, the importance of people's knowledge and skills in their wage level, has soared too, which, in turn, may be an indicator of the transformation of Romania into a knowledge based society.
Volume (Year): (2013)
Issue (Month): 1 (March)
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- Joshua Angrist & Victor Chernozhukov & Ivan Fernandez-Val, 2004.
"Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure,"
NBER Working Papers
10428, National Bureau of Economic Research, Inc.
- Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, 03.
- 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.
- Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
- Alan Krueger & Mikael Lindahl, 2000.
"Education for Growth: Why and For Whom?,"
808, Princeton University, Department of Economics, Industrial Relations Section..
- Heckman, James J. & Lochner, Lance John & Todd, Petra E., 2005.
"Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond,"
IZA Discussion Papers
1700, Institute for the Study of Labor (IZA).
- 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, Elsevier.
- James J. Heckman & Lance J. Lochner & Petra E. Todd, 2005. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," NBER Working Papers 11544, National Bureau of Economic Research, Inc.
- James M. Poterba & Kim S. Rueben, 1994. "The Distribution of Public Sector Wage Premia: New Evidence Using Quantile Regression Methods," NBER Working Papers 4734, National Bureau of Economic Research, Inc.
- Blaise Melly, 2005. "Public-private sector wage differentials in Germany: Evidence from quantile regression," Empirical Economics, Springer, vol. 30(2), pages 505-520, 09.
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