IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v41y2009i11p1453-1460.html
   My bibliography  Save this article

The evolution of the returns to education and wage differentials in Brazil: a quantile approach

Author

Listed:
  • Patricia Castello Stefani
  • Ciro Biderman

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 the education decisions. Using data from the Brazilian households survey (PNAD) for the years of 1988 and 1996, the results indicate that the returns to education are significantly heterogeneous across the distribution of earnings, as well as the wage gap between the groups, according to gender and skin color. Moreover, there has been a significant improvement in the wage differentials between the groups across the years.

Suggested Citation

  • Patricia Castello Stefani & Ciro Biderman, 2009. "The evolution of the returns to education and wage differentials in Brazil: a quantile approach," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1453-1460.
  • Handle: RePEc:taf:applec:v:41:y:2009:i:11:p:1453-1460
    DOI: 10.1080/00036840601019299
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840601019299
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036840601019299?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ferreira, Francisco H. G. & Leite, Phillippe G. & Litchfield, Julie A., 2008. "The Rise And Fall Of Brazilian Inequality: 1981–2004," Macroeconomic Dynamics, Cambridge University Press, vol. 12(S2), pages 199-230, September.
    2. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    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. Livini Donath & Oliver Morrissey & Trudy Owens, 2021. "Does the pay period matter in estimating returns to schooling? Evidence from East Africa," Discussion Papers 2021-01, University of Nottingham, CREDIT.
    2. Mazzutti, Caio Cícero Toledo Piza da Costa, 2016. "Three essays on the causal impacts of child labour laws in Brazil," Economics PhD Theses 0616, Department of Economics, University of Sussex Business School.

    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. Kristinn Hermannsson & Patrizio Lecca, 2016. "Human Capital in Economic Development: From Labour Productivity to Macroeconomic Impact," Economic Papers, The Economic Society of Australia, vol. 35(1), pages 24-36, March.
    2. Sophie-Charlotte Klose & Johannes Lederer, 2020. "A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics," Papers 2006.12296, arXiv.org, revised Jun 2020.
    3. María Arrazola & José de Hevia, 2003. "Evaluación económica de políticas educativas: Una ilustración con la Ley General de la Educación de 1970," Hacienda Pública Española / Review of Public Economics, IEF, vol. 164(1), pages 111-127, march.
    4. Kemptner, Daniel & Tolan, Songül, 2018. "The role of time preferences in educational decision making," Economics of Education Review, Elsevier, vol. 67(C), pages 25-39.
    5. Michelle Sheran Sylvester, 2007. "The Career and Family Choices of Women: A Dynamic Analysis of Labor Force Participation, Schooling, Marriage and Fertility Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 367-399, July.
    6. Grossmann, Volker, 2008. "Risky human capital investment, income distribution, and macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 19-42, March.
    7. Campos, Nauro F. & Jolliffe, Dean, 2003. "After, before and during: returns to education in Hungary (1986-1998)," Economic Systems, Elsevier, vol. 27(4), pages 377-390, December.
    8. Emanuela di Gropello, 2006. "Meeting the Challenges of Secondary Education in Latin America and East Asia : Improving Efficiency and Resource Mobilization," World Bank Publications - Books, The World Bank Group, number 7173, December.
    9. Bas Jacobs, 2013. "Optimal redistributive tax and education policies in general equilibrium," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(2), pages 312-337, April.
    10. David Campbell, 2001. "Rates of Return to Schooling and the Quality of Education in England and Wales," Studies in Economics 0115, School of Economics, University of Kent.
    11. Chen, Yuanyuan & Feng, Shuaizhang & Han, Yujie, 2020. "The effect of primary school type on the high school opportunities of migrant children in China," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 325-338.
    12. Alvaredo, Facundo & Bourguignon, François & Ferreira, Francisco H. G. & Lustig, Nora, 2023. "Seventy-five years of measuring income inequality in Latin America," LSE Research Online Documents on Economics 120557, London School of Economics and Political Science, LSE Library.
    13. Oostendorp, Remco H. & Doan, Quang Hong, 2013. "Have the returns to education really increased in Vietnam? Wage versus employment effect," Journal of Comparative Economics, Elsevier, vol. 41(3), pages 923-938.
    14. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    15. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    16. Cory Koedel, 2009. "Postsecondary Education Structure," Working Papers 0906, Department of Economics, University of Missouri, revised 04 Oct 2010.
    17. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    18. Markus Brueckner & Ngo Van Long & Joaquin L. Vespignani, 2020. "Non-Gravity Trade," Globalization Institute Working Papers 388, Federal Reserve Bank of Dallas.
    19. Kai Barron & Luis F. Gamboa & Paul Rodríguez-Lesmes, 2019. "Behavioural Response to a Sudden Health Risk: Dengue and Educational Outcomes in Colombia," Journal of Development Studies, Taylor & Francis Journals, vol. 55(4), pages 620-644, April.
    20. María laura Alzúa & Guillermo Cruces & Carolina Lopez, 2016. "Long-Run Effects Of Youth Training Programs: Experimental Evidence From Argentina," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1839-1859, October.

    More about this item

    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:taf:applec:v:41:y:2009:i:11:p:1453-1460. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.