EDUCATION, EXPERIENCE AND MALE-FEMALE WAGE DIFFERENTIALS AFTER 2001 CRISIS

Year 2009, Volume: 8 Issue: 31, 259 - 270, 10.01.2009

Selahahtin Güriş Ebru Çağlayan , İrem Saçaklı

https://doi.org/10.14783/maruoneri.678684

Abstract

This paper investigates the differentials in returns to education, returns to experience using the mincerian wage equation by using OLS and quantile regression after 2001 crisis in Turkey. The analysis is carried out using the 2002, 2003, 2005 and 2006 Turkish Household Labor Force Surveys to examine the effects of crisis on the wage differentials.
The results show that returns to education for women is higher than for men. It is observed that men definitely have higher returns to experience than women in the years 2002 and 2003. When alt data have been explored, obvious differences can be seen in wage structure after the crisis, especially in 2003. Consequently when wage structures in countries that have gone through economic crisis are explored, these periods needs to be taken into consideration so that more detailed information can be gathered about wage differentials.

Keywords

Educational Economics, Human Capital, Rate of Return, Wage Differentials, Quantile Regression

References

• [1] Pereira, P.T., & Martins P.S. (2002). Education and Earnings in Portugal. Conference of the Bank of Portugal on “Desenvolvimento Econömico Portugues no Espaço Europeu: Determinantes e Polıticas”. http://www.bportugal.pt/events/conferences/CEM/Paper_8. pdf). [20.05.2007],
• [2] Mueller, R. (1998). Public-private Sector wage Differentials in Canada: Evidence from Quantile Regressions. Economics Letters, 60(2), 229-235
• [3] Terrell, K. (1993). Public-private Wage Differentials in Haiti. Journal of Development Economics, 42(2), 293-314
• [4] Nielsen, H.S. & Rosholm, M. (2001). The Public-Private Sector Wage Gap in Zambia in the 1990s: A Quantile Regression Approach. Empirical Economics, 26(1), 169- 182
• [5] Buchinsky, M. (1994). Changes in the US Wage Structure 1963-1987: Application of Quantile Regression. Econometrica, 62(2), 405-458.
• [6] Hartog, J.; Pereira, P. & Vieira, J.A. (2001). Changing Retums to Education in Portugal During the 1980s and Early 1990s: OLS and Quantile Regression Estimators. Applied Economics, 33(8), 1021-2037.
• [7] Martins, P.S. & Pereira, P.T. (2004). Retums to Education and Wage Equations. Applied Economics, 36(6), 525-531.
• [8] Heckman, J.J. & Solomon, P. (1974). Empirical Evidence on the Functional Form of the Eamings-Schooling Relationship. Journal of the American Statistical Association, 69(346), 350-354.
• [9] Dooley, M.D. & Gottschalk, P. (1984). Eamings Inequality among Males in the United States: Trends and the Effect of Labor Force Growth. The Journal of Political Economy, 92(1), 59-89.
• [10] Fortin, N.M. & Lemieux, T. (1998). Rank Regressions, Wage Distributions, and the Gender Gap. Journal of Human Resources, 33(3), 610-643.
• [11] Macpherson, D.A. & Hirsch, B.T. (1995). Wages and Gender Composition: Why do women’s Jobs Pay Less? Journal of Labor Economics, 13(3), 426-471.
• [12] Mwabu, G. & Schultz, T.P. (1996). Education Returns Across Quantiles of the Wage Function: Alternative Explanations for Retums to Education by Race in South Africa. The American Economic Review, 86(2), 335-339.
• [13] Ari as, O.; Hallock, K. & Sosa-Escudero, W. (2001). Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression Using Twins Data. Empirical Economics, 26(1), 7-40.
• [14] Montenegro C. (2001). Wage Distribution in Chile: Does Gender Matter? A Quantile Regression Approach, Policy Research Report on Gender and Development. Working Paper Series. 20. (http://siteresources.worldbank.org/ INTGENDER/Resources/wp20.pdf). [25.04.2006],
• [15] Garcia, J.; Hemandez, P.J. & Lopez-Nicolas, A. (2001). How Wide is The Gap? An investigation of Gender Wage Differences Using Quantile Regression. Empirical Economics, 26(1), 149-167.
• [16] Gardezable, J. & Ugidos, A. (2005). Gender Wage Discrimination at Quantiles. Journal of Population Economics, 18(1), 165-179.
• [17] Harmon, C.; Oosterbeek, H. & Walker, I. (2003). The Returns to Education: Microeconomics. Journal of Economic Surveys, 17(2), 115-155.
• [18] Girma, S. & Kedir, A. (1994). Is education more beneficial to less able? Econometric Evidence from Ethiopia. Working paper, Department of Economics, University of Leicester, UK.
• [19] Girma, S., & Kedir, A. (2005). Heterogeneity in Retums to Schooling, Econometric Evidence from Ethiopia. Journal of Development Studies, 41(8), 1405-1416.
• [20] Lee, B.J. & Lee, M.J. (2002). Quantile Regression Analysis of Wage Determinants: What Determines the Wage Structure in the Korean Labor Market. İYorking paper, Department of Economics and Lab for Social Research, University of Nötre Dame.
• [21] Tansel, A. (1994). Wage Employment, Eamings and Returns to Schooling for Men and Women in Turkey. Economics of Education Review, 13(4), 305-320.
• [22] Tansel, A. (2004). Public and Private Employment Choice, Wage Differentials and Gender in Turkey. İZA Discussion Paper Series, No: 1262. (ftp:// repec.iza.org/ RePEc/Discussionpaper/dpl262.pdf). [05.07.2006].
• [23] Kılıç, A. & Kasnakoğlu, Z. (1983). Ankara’da Gelir Farklılıklarını Belirleyen Etmenler (1977). ODTÜ Gelişme Dergisi, 10(2), 179-198.
• [24] Metin, K. & Üçdoğruk, Ş. (1997). İstanbul İlinde Gelir Farklılığını Belirleyen Etmenler: İnsan Sermayesi Modeli (1994). Ekonomik Yaklaşım Dergisi, 8(27), 238-302.
• [25] Üçdoğruk, Ş.; Özcan, M. & Özcan, Z. (2000). Türkiye’de Gelişmiş İndeksine Göre Seçilmiş İllerde Gelir Farklılıklarını Belirleyen Etmenler. Ekonomik Yaklaşım, 11(23), 29-57.
• [26] Bircan, F. & Tansel, A. (2006). Inequality in The Wages of Male Wage Earners in Turkey 1994-2002: A Quantile Regression Analysis. XX. Annual Conference of the European Society for Population Economics, June 22-24, Verona, Italy.
• [27] Mincer, J. (1974). Schooling. Experience and Eamings. New York: Columbia University Press.
• [28] Koenker, R. & Basset, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
• [29] Buchinsky, M. (1998). Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research. Journal ofHuman Resources, 33(1), 88-126.
• [30] Jargue, C.M. & Bera, A.K. (1980). Effıcient Test for Normality. Homoscedasticity and Serial Independence of Regression Residuals. Economic Letter, 6(2), 255-259.
• [31] Güriş, S.; Çağlayan, E. & Saçaklı, İ. (2007). Effect of Education in Wage Distribution for Public and Private Sector. 22"d European Conference on Operational Research, July 8-11, Prague.