IDEAS home Printed from https://ideas.repec.org/p/ctl/louvir/2012008.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://sites.uclouvain.be/econ/DP/IRES/2012008.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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..
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Giuseppe Bertola & Pietro Garibaldi, 2003. "The Structure and History of Italian Unemployment," CESifo Working Paper Series 907, CESifo.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Tindara Addabbo & Donata Favaro, 2011. "Gender wage differentials by education in Italy," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4589-4605.
    21. 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.
    22. 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.
    23. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Chiara Mussida, 2015. "L?impatto dell?istruzione sui salari per genere in Italia / Appendice Statistica," ECONOMIA E SOCIET? REGIONALE, FrancoAngeli Editore, vol. 2015(2), pages 94-113.
    3. 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.
    4. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    5. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    6. Coral Río & Carlos Gradín & Olga Cantó, 2011. "The measurement of gender wage discrimination: the distributional approach revisited," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(1), pages 57-86, March.
    7. René Böheim & Klemens Himpele & Helmut Mahringer & Christine Zulehner, 2013. "The distribution of the gender wage gap in Austria: evidence from matched employer-employee data and tax records [Eine Auswertung von Steuer- und Sozialversicherungsdaten zur Untersuchung der Verte," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 46(1), pages 19-34, March.
    8. Karolina Goraus & Joanna Tyrowicz & Lucas Velde, 2017. "Which Gender Wage Gap Estimates to Trust? A Comparative Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 118-146, March.
    9. Arceo-Gómez, Eva O. & Campos-Vázquez, Raymundo M., 2014. "Evolución de la brecha salarial de género en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .619-653, julio-sep.
    10. Garbay, Sergio & Barrera, Raquel, 2021. "¿Mujeres en suelos pegajosos? Un análisis de la evolución de las distribuciones de ingresos laborales en Bolivia en el periodo 2011-2019," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 36, pages 123-168, Noviembre.
    11. Heinze, Anja, 2010. "Beyond the mean gender wage gap: Decomposition of differences in wage distributions using quantile regression," ZEW Discussion Papers 10-043, ZEW - Leibniz Centre for European Economic Research.
    12. Grund, Christian, 2015. "Gender pay gaps among highly educated professionals — Compensation components do matter," Labour Economics, Elsevier, vol. 34(C), pages 118-126.
    13. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    14. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    15. Kaya, Ezgi, 2019. "Gender wage gap across the quantiles:What is the role of firm segregation?," Cardiff Economics Working Papers E2019/7, Cardiff University, Cardiff Business School, Economics Section.
    16. Booth, Alison L., 2009. "Gender and competition," Labour Economics, Elsevier, vol. 16(6), pages 599-606, December.
    17. Kaya Ezgi, 2021. "Gender wage gap across the distribution: What is the role of within- and between-firm effects?," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-49, January.
    18. Tindara Addabbo & Donata Favaro & Stefano Magrini, 2012. "Gender differences in productivity rewards: the role of human capital," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 59(1), pages 81-110, March.
    19. Philippe Van Kerm, 2013. "Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pages 465-482, August.
    20. Doruk, Ömer Tuğsal & Pastore, Francesco, 2022. "A Tale of Parallel Processes of Gender (In-)Equality: How Big is the Glass Ceilings for Mena Women?," GLO Discussion Paper Series 1062, Global Labor Organization (GLO).

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ctl:louvir:2012008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Virginie LEBLANC (email available below). General contact details of provider: https://edirc.repec.org/data/iruclbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.