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Young Workers, Marital Status And Wage Gap

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  • M. ÁNGELES DÍAZ

    (Universidad de Valencia)

  • ROSARIO SÁNCHEZ

    (Universidad de Valencia)

Abstract

This paper analyses whether marital status has a significant effect on wages and whether it is a determinant of the gender gap. We use the stochastic frontier approach to explain the differences between the potential and the observed wage that an individual could obtain, given his or her human capital endowment. We construct a balanced panel of wage earners from the European Community Household Panel Survey (ECHP), from 1995 to 2001. The sample is of young workers that remain seven consecutive years in the labour market. Our results show that a significant part of the gender wage gap (distance to the frontier) suffered by married women in Germany, Italy, Spain and the United Kingdom is not attributable to differences in human capital endowment or personal and job-related characteristics.

Suggested Citation

  • M. Ángeles Díaz & Rosario Sánchez, 2013. "Young Workers, Marital Status And Wage Gap," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 21(1), pages 57-70, Spring.
  • Handle: RePEc:rev:reveca:v:21:y:2013:i:1:p:57-70
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    References listed on IDEAS

    as
    1. Alan Manning & Joanna Swaffield, 2008. "The gender gap in early-career wage growth," Economic Journal, Royal Economic Society, vol. 118(530), pages 983-1024, July.
    2. 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, .
    3. 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.
    4. Michael D. Robinson, 1993. "Measuring Discrimination against Females: Is the “Non-Discriminatory†Wage the Male or the Female Wage?," The American Economist, Sage Publications, vol. 37(1), pages 45-50, March.
    5. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    6. Hofler, Richard A. & Polachek, Solomon W., 1985. "A new approach for measuring wage ignorance in the labor market," Journal of Economics and Business, Elsevier, vol. 37(3), pages 267-276, August.
    7. Becker, Gary S, 1985. "Human Capital, Effort, and the Sexual Division of Labor," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 33-58, January.
    8. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    9. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    10. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    11. Herzog, Henry W, Jr & Hofler, Richard A & Schlottmann, Alan M, 1985. "Life on the Frontier: Migrant Information, Earnings and Past Mobility," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 373-382, August.
    12. Polachek, Solomon W & Yoon, Bong Joon, 1996. "Panel Estimates of a Two-Tiered Earnings Frontier," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 169-178, March-Apr.
    13. Slottje, Daniel J. & Hirschberg, Joseph G. & Hayes, Kathy J. & Scully, Gerald W., 1994. "A new method for detecting individual and group labor market discrimination," Journal of Econometrics, Elsevier, vol. 61(1), pages 43-64, March.
    14. Lundberg, Shelly & Rose, Elaina, 2000. "Parenthood and the earnings of married men and women," Labour Economics, Elsevier, vol. 7(6), pages 689-710, November.
    15. Polachek, Solomon W & Yoon, Bong Joon, 1987. "A Two-tiered Earnings Frontier Estimation of Employer and Employee Information in the Labor Market," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 296-302, May.
    16. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    17. Prieto-Rodriguez, Juan & Rodriguez-Gutierrez, Cesar, 2003. "Participation of married women in the European labor markets and the "added worker effect"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(4), pages 429-446, September.
    18. Francine D. Blau & Lawrence M. Kahn, 2003. "Understanding International Differences in the Gender Pay Gap," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 106-144, January.
    19. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    20. Groot, W. & Oosterbeek, H., 1995. "Stochastic reservation and offer wages," Labour Economics, Elsevier, vol. 2(1), pages 107-107, March.
    21. Polachek, Solomon W. & Robst, John, 1998. "Employee labor market information: comparing direct world of work measures of workers' knowledge to stochastic frontier estimates," Labour Economics, Elsevier, vol. 5(2), pages 231-242, June.
    22. M. Angeles Diaz & Rosario Sanchez, 2008. "Temporary contracts and young women in Spain," Applied Economics, Taylor & Francis Journals, vol. 40(11), pages 1435-1442.
    23. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    24. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    25. Hofler, Richard A & Murphy, Kevin J, 1992. "Underpaid and Overworked: Measuring the Effect of Imperfect Information on Wages," Economic Inquiry, Western Economic Association International, vol. 30(3), pages 511-529, July.
    26. Peter Dawson & Timothy Hinks & Duncan Watson, 2001. "German Wage Underpayment: An Investigation into Labor Market Inefficiency and Discrimination," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(1), pages 107-114.
    27. Bishop, John A. & Grodner, Andrew & Liu, Haiyong & Chiou, Jong-Rong, 2007. "Gender earnings differentials in Taiwan: A stochastic frontier approach," Journal of Asian Economics, Elsevier, vol. 18(6), pages 934-945, December.
    28. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    29. Luisa Escriche & Gonzalo Olcina & Rosario Sánchez, 2004. "Gender discrimination and intergenerational transmission of preferences," Oxford Economic Papers, Oxford University Press, vol. 56(3), pages 485-511, July.
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    More about this item

    Keywords

    wage differentials; marital status; Europe;
    All these keywords.

    JEL classification:

    • 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
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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