IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-05i20004.html
   My bibliography  Save this article

Returns to Education and Wage Differentials in Brazil: A Quantile Approach

Author

Listed:
  • Patricia Stefani

    (Ibmec - SP)

  • Ciro Biderman

    (FGV - SP)

Abstract

This paper uses quantile regression techniques to analyze the returns to education across the conditional distribution of wages from individuals, separated both by gender and skin color, while accounting for the endogeneity of education decisions. Are the returns to education heterogeneous across the conditional distribution of earnings? Using data from the 1996 PNAD, the results indicate that the returns to education are, indeed, significantly heterogeneous across the distribution of earnings, as well as a considerable wage gap between the groups, according to gender and skin color.

Suggested Citation

  • Patricia Stefani & Ciro Biderman, 2006. "Returns to Education and Wage Differentials in Brazil: A Quantile Approach," Economics Bulletin, AccessEcon, vol. 9(1), pages 1-6.
  • Handle: RePEc:ebl:ecbull:eb-05i20004
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/pubs/EB/2006/Volume9/EB-05I20004A.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. 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.
    4. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    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. Ghulam Sarwar & Muhammad Saeed Hashmi, 2014. "Returns to Education and Earning Inequality Nexus: A Micro-Econometric Analysis for Pakistan," Journal of Economics and Behavioral Studies, AMH International, vol. 6(1), pages 32-36.
    2. Gamper-Rabindran, Shanti & Khan, Shakeeb & Timmins, Christopher, 2010. "The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach," Journal of Development Economics, Elsevier, vol. 92(2), pages 188-200, July.

    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. Fattouh, Bassam & Scaramozzino, Pasquale & Harris, Laurence, 2005. "Capital structure in South Korea: a quantile regression approach," Journal of Development Economics, Elsevier, vol. 76(1), pages 231-250, February.
    2. Lee, Hyunchul & Cho, Seung Mo, 2017. "What drives dynamic comovements of stock markets in the Pacific Basin region?: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 314-327.
    3. Michelle L. Barnes & Anthony W. Hughes, 2002. "A quantile regression analysis of the cross section of stock market returns," Working Papers 02-2, Federal Reserve Bank of Boston.
    4. Lee, Hyunchul, 2021. "Time-varying comovement of stock and treasury bond markets in Europe: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 1-20.
    5. repec:ebl:ecbull:v:9:y:2006:i:1:p:1-6 is not listed on IDEAS
    6. Kan, Kamhon & Tsai, Wei-Der, 2004. "Obesity and risk knowledge," Journal of Health Economics, Elsevier, vol. 23(5), pages 907-934, September.
    7. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    8. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    9. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    10. 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.
    11. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 123-128, August.
    12. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    13. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    14. Joachim Wagner, 2014. "Exports, foreign direct investments and productivity: are services firms different?," The Service Industries Journal, Taylor & Francis Journals, vol. 34(1), pages 24-37, January.
    15. Arkhipova, Marina & Egorov, Alexey & Sirotin, Viacheslav, 2017. "Returns to schooling in Russia and Ukraine: Comparative analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 100-122.
    16. Bassam Fattouh & Laurence Harris & Pasquale Scaramozzino, 2008. "Non-linearity in the determinants of capital structure: evidence from UK firms," Empirical Economics, Springer, vol. 34(3), pages 417-438, June.
    17. Tae-Hwan Kim & Christophe Muller, 2020. "Inconsistency transmission and variance reduction in two-stage quantile regression," Post-Print hal-02084505, HAL.
    18. Fournier, Jean-Marc & Koske, Isabell, 2013. "Public employment and earnings inequality: An analysis based on conditional and unconditional quantile regressions," Economics Letters, Elsevier, vol. 121(2), pages 263-266.
    19. Sourafel Girma & Abbi Kedir, 2005. "Heterogeneity in returns to schooling: Econometric evidence from Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 41(8), pages 1405-1416.
    20. Sula, Ozan, 2008. "Demand for International Reserves: A Quantile Regression Approach," MPRA Paper 11680, University Library of Munich, Germany.
    21. Andini, Corrado, 2009. "How Fast Do Wages Adjust to Human-Capital Productivity? Dynamic Panel-Data Evidence from Belgium, Denmark and Finland," IZA Discussion Papers 4583, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J0 - Labor and Demographic Economics - - General

    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:ebl:ecbull:eb-05i20004. 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: John P. Conley (email available below). General contact details of provider: .

    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.