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The Gender Wage Gap by Education in Italy

Author

Listed:
  • Chiara MUSSIDA

    (Department of Economics and Social Sciences, Università Cattolica del Sacro Cuore, Piacenza, Italy)

  • Matteo PICCHIO

    (Research Foundation - Flanders (FWO); Sherppa, Ghent University; Department of Economics, CentER,Tilburg University; IZA, Bonn)

Abstract

This paper studies the gender wage gap by educational attainment in Italy using the 1994–2001 ECHP data. We estimate wage distributions in the presence of covariates and sample selection separately for highly and low educated men and women. Then, we decompose the gender wage gap across all the wage distribution and isolate the part due to gender differences in the remunerations of the similar characteristics. We find that women are penalized especially if low educated. When we control for sample selection induced by unobservables, the penalties for low educated women become even larger, above all at the bottom of the wage distribution.

Suggested Citation

  • Chiara MUSSIDA & Matteo PICCHIO, 2012. "The Gender Wage Gap by Education in Italy," LIDAM Discussion Papers IRES 2012008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    • Handle: RePEc:ctl:louvir:2012008
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    References listed on IDEAS

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    1. Picchio, Matteo & Mussida, Chiara, 2011. "Gender wage gap: A semi-parametric approach with sample selection correction," Labour Economics, Elsevier, vol. 18(5), pages 564-578, October.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Ghazala Azmat & Maia Güell & Alan Manning, 2006. "Gender Gaps in Unemployment Rates in OECD Countries," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 1-38, January.
    4. Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 2003. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 887-922, October.
    5. Dorothe Bonjour & Michael Gerfin, 2001. "The unequal distribution of unequal pay - An empirical analysis of the gender wage gap in Switzerland," Empirical Economics, Springer, vol. 26(2), pages 407-427.
    6. Van den Berg, G J & Lindeboom, M & Ridder, G, 1994. "Attrition in Longitudinal Panel Data and the Empirical Analysis of Dynamic Labour Market Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 421-435, Oct.-Dec..
    7. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
    8. Doris Weichselbaumer & Rudolf Winter‐Ebmer, 2005. "A Meta‐Analysis of the International Gender Wage Gap," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 479-511, July.
    9. William M. Boal & Michael R. Ransom, 1997. "Monopsony in the Labor Market," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 86-112, March.
    10. Claudia Olivetti & Barbara Petrongolo, 2008. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Journal of Labor Economics, University of Chicago Press, vol. 26(4), pages 621-654, October.
    11. Chiara Mussida & Matteo Picchio, 2014. "The trend over time of the gender wage gap in Italy," Empirical Economics, Springer, vol. 46(3), pages 1081-1110, May.
    12. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    13. Gerard J. van den Berg & Maarten Lindeboom, 1998. "Attrition in Panel Survey Data and the Estimation of Multi-State Labor Market Models," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 458-478.
    14. 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.
    15. Tuomas Pekkarinen & Juhana Vartiainen, 2006. "Gender Differences in Promotion on a Job Ladder: Evidence from Finnish Metalworkers," ILR Review, Cornell University, ILR School, vol. 59(2), pages 285-301, January.
    16. Sara Rica & Juan Dolado & Vanesa Llorens, 2008. "Ceilings or floors? Gender wage gaps by education in Spain," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 751-776, July.
    17. Stephen G. Donald & David A. Green & Harry J. Paarsch, 2000. "Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 609-633.
    18. Boris Hirsch & Thorsten Schank & Claus Schnabel, 2010. "Differences in Labor Supply to Monopsonistic Firms and the Gender Pay Gap: An Empirical Analysis Using Linked Employer-Employee Data from Germany," Journal of Labor Economics, University of Chicago Press, vol. 28(2), pages 291-330, April.
    19. Tindara Addabbo & Donata Favaro, 2011. "Gender wage differentials by education in Italy," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4589-4605.
    20. Hugo Ñopo & Nancy Daza & Johanna Ramos, 2012. "Gender earning gaps around the world: a study of 64 countries," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(5), pages 464-513, August.
    21. Booth, Alison L. & Francesconi, Marco & Frank, Jeff, 2003. "A sticky floors model of promotion, pay, and gender," European Economic Review, Elsevier, vol. 47(2), pages 295-322, April.
    22. Natalia A. Kolesnikova & Yang Liu, 2011. "Gender wage gap may be much smaller than most think," The Regional Economist, Federal Reserve Bank of St. Louis, issue Oct, pages 14-15.
    23. Giuseppe Bertola & Pietro Garibaldi, 2003. "The Structure and History of Italian Unemployment," CESifo Working Paper Series 907, CESifo.
    24. Andreas Behr & Ulrich Pötter, 2009. "Analysing Wage Differences between the USA and Germany Using Proportional Hazards Models," LABOUR, CEIS, vol. 23(2), pages 319-347, June.
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    More about this item

    Keywords

    gender wage gap; education; counterfactual distributions; decompositions; hazard function;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • 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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