IDEAS home Printed from https://ideas.repec.org/p/fda/fdaeee/108.html
   My bibliography  Save this paper

Measuring the gender gap at different quantiles of the wage distribution

Author

Listed:
  • Javier Gardeazabal
  • Arantza Ugidos

Abstract

No abstract is available for this item.

Suggested Citation

  • Javier Gardeazabal & Arantza Ugidos, "undated". "Measuring the gender gap at different quantiles of the wage distribution," Studies on the Spanish Economy 108, FEDEA.
  • Handle: RePEc:fda:fdaeee:108
    as

    Download full text from publisher

    File URL: https://documentos.fedea.net/pubs/eee/eee108.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606.
    2. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    3. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590.
    4. Willis, Robert J., 1987. "Wage determinants: A survey and reinterpretation of human capital earnings functions," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 10, pages 525-602, Elsevier.
    5. Javier Gardeazabal & Arantza Ugidos, 2005. "Gender wage discrimination at quantiles," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(1), pages 165-179, July.
    6. Juan F. Jimeno & Luis Toharia, 1993. "The effects of fixed-term employment on wages: theory and evidence from Spain," Investigaciones Economicas, Fundación SEPI, vol. 17(3), pages 475-494, September.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Budría, Santiago & Moro-Egido, Ana I., 2008. "Education, educational mismatch, and wage inequality: Evidence for Spain," Economics of Education Review, Elsevier, vol. 27(3), pages 332-341, June.
    2. Donal O'Neill & Olive Sweetman & Dirk van de Gaer, 2000. "Estimating Counterfactual Densities: An application to Black-White Wage Differentials in the U.S," Economics Department Working Paper Series n1040600, Department of Economics, National University of Ireland - Maynooth.
    3. Budria, Santiago, 2006. "Education and Inequality: Evidence from Spain," MPRA Paper 1098, University Library of Munich, Germany.
    4. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    5. Asma Hyder & Barry Reilly, 2005. "The Public and Private Sector Pay Gap in Pakistan: A Quantile Regression Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(3), pages 271-306.
    6. Chris Sakellariou, 2004. "The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 1001-1007.
    7. Nadeem ul Haque & Musleh ud Din (ed.), 2020. "Public Sector Efficiency: Perspectives on Civil Service Reform," PIDE Books, Pakistan Institute of Development Economics, number 2020:4, December.
    8. Marisa Bucheli & Graciela Sanroman, 2004. "Salarios Femeninos en el Uruguay ¿Existe un Techo de Cristal?," Documentos de Trabajo (working papers) 0504, Department of Economics - dECON.
    9. Nadeem ul Haque & Musleh Ud Din (ed.), 2006. "Public Sector Efficiency Perspectives On Civil Service Reform," PIDE Books, Pakistan Institute of Development Economics, number 2006:2, December.

    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. de la Rica, Sara & Dolado, Juan J. & Llorens, Vanesa, 2005. "Ceiling and Floors: Gender Wage Gaps by Education in Spain," IZA Discussion Papers 1483, Institute of Labor Economics (IZA).
    2. 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.
    3. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    4. Grace Hong, Hyokyoung, 2013. "A quantile approach to the power transformed location–scale model," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 50-62.
    5. Mario Izquierdo & Aitor Lacuesta, 2006. "Wage inequality in Spain: recent developments," Working Papers 0615, Banco de España.
    6. Machado, José A.F. & Santos Silva, J.M.C. & Wei, Kehai, 2016. "Quantiles, corners, and the extensive margin of trade," European Economic Review, Elsevier, vol. 89(C), pages 73-84.
    7. Bilias, Yannis & Chen, Songnian & Ying, Zhiliang, 2000. "Simple resampling methods for censored regression quantiles," Journal of Econometrics, Elsevier, vol. 99(2), pages 373-386, December.
    8. Juan J. Dolado & Vanesa Llorens, 2004. "Gender Wage Gaps By Education In Spain: Glass Floors Vs. Glass Ceilings," Working Papers wp2004_03, CEMFI.
    9. Dolado, Juan J & Llorens, Vanesa, 2004. "Gender Wage Gaps by Education in Spain: Glass Floors versus Glass Ceilings," CEPR Discussion Papers 4203, C.E.P.R. Discussion Papers.
    10. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    11. Michel Lubrano & Abdoul Aziz Junior Ndoye, 2014. "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992–2009," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 129-153, May.
    12. V L Miguéis & D F Benoit & D Van den Poel, 2013. "Enhanced decision support in credit scoring using Bayesian binary quantile regression," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1374-1383, September.
    13. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    14. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2018. "Bad Karma or Discrimination? Male–Female Wage Gaps Among Salaried Workers in India," World Development, Elsevier, vol. 102(C), pages 331-344.
    15. Richard Blundell & Amanda Gosling & Hidehiko Ichimura & Costas Meghir, 2007. "Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using Bounds," Econometrica, Econometric Society, vol. 75(2), pages 323-363, March.
    16. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2009. "Finite sample inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 152(2), pages 93-103, October.
    17. Dasgupta, Sukti. & Bhula-or, Ruttiya. & Fakthong, Tiraphap., 2015. "Earnings differentials between formal and informal employment in Thailand," ILO Working Papers 994896403402676, International Labour Organization.
    18. Lucie Schmidt & Purvi Sevak, 2006. "Gender, Marriage, And Asset Accumulation In The United States," Feminist Economics, Taylor & Francis Journals, vol. 12(1-2), pages 139-166.
    19. Wilke, Ralf A. & Fitzenberger, Bernd & Zhang, Xuan, 2004. "A Note on Implementing Box-Cox Quantile Regression," ZEW Discussion Papers 04-61, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    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:fda:fdaeee:108. 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: Carmen Arias (email available below). General contact details of provider: https://www.fedea.net .

    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.