IDEAS home Printed from https://ideas.repec.org/p/fgv/epgewp/793.html
   My bibliography  Save this paper

Returns and intergenerational mobility of education during period of falling earnings inequality in Brazil

Author

Listed:
  • Neri, Marcelo Côrtes
  • Bonomo, Tiago

Abstract

Education related changes are often argued as the main reasons for changes in earnings distribuctions. However, omitted variable and measurement error biases possibly affect econometric estimates of these effects. Brazil experienced a sharp fall of individual labour income inequality betwenn 1996 and 2014. Coincidently, there are special supplements of PNAD on family background in these two years that allow us to better address the role played by falling education returns. This note takes advantage of this information to provide new estimates of the level and evolution of the returns to education in Brazil using variable premiums by education level, quantile regressions and pseudo panels.

Suggested Citation

  • Neri, Marcelo Côrtes & Bonomo, Tiago, 2017. "Returns and intergenerational mobility of education during period of falling earnings inequality in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 793, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    • Handle: RePEc:fgv:epgewp:793
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/fcd345cd-1109-4fd0-95a7-feaa09198587/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lam, David & Schoeni, Robert F, 1993. "Effects of Family Background on Earnings and Returns to Schooling: Evidence from Brazil," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 710-740, August.
    2. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.
    3. Shoshana Grossbard (ed.), 2006. "Jacob Mincer A Pioneer of Modern Labor Economics," Springer Books, Springer, number 978-0-387-29175-8, December.
    4. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    5. Fernando A. Veloso & Sérgio Guimarães Ferreira, 2003. "Mobilidade Intergeracional de Educação no Brasil," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] f25, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Reis, Mauricio Cortez & Ramos, Lauro, 2011. "Escolaridade dos Pais, Desempenho no Mercado de Trabalho e Desigualdade de Rendimentos," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(2), June.
    7. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    8. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    9. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    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. Marcelo Neri & Tiago Bonomo, 2018. "Returns to education, intergenerational mobility, and inequality trends in Brazil," WIDER Working Paper Series wp-2018-129, World Institute for Development Economic Research (UNU-WIDER).
    2. Marcelo Neri & Tiago Bonomo, 2018. "Returns to education, intergenerational mobility, and inequality trends in Brazil," WIDER Working Paper Series 129, World Institute for Development Economic Research (UNU-WIDER).
    3. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    4. Patrick M. Emerson & André Portela Souza, 2011. "Is Child Labor Harmful? The Impact of Working Earlier in Life on Adult Earnings," Economic Development and Cultural Change, University of Chicago Press, vol. 59(2), pages 345-385.
    5. Crespo, Anna Risi Vianna & Reis, Mauricio Cortez, 2009. "Sheepskin Effects and the Relationship between Earnings and Education: Analyzing the Evolution over Time in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 63(3), August.
    6. 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.
    7. 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.
    8. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
    9. Serge Coulombe & Gilles Grenier & Serge Nadeau, 2014. "Quality of Work Experience and Economic Development: Estimates Using Canadian Immigrant Data," Journal of Human Capital, University of Chicago Press, vol. 8(3), pages 199-234.
    10. Gregorio Caetano & Miguel Palacios & Harry A. Patrinos, 2019. "Measuring Aversion to Debt: An Experiment Among Student Loan Candidates," Journal of Family and Economic Issues, Springer, vol. 40(1), pages 117-131, March.
    11. Saïd Hanchane & Abraham Lioui & David Touahri, 2006. "Human capital as a risky asset and the effect of uncertainty on the decision to invest," Working Papers halshs-00010139, HAL.
    12. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    13. Hans Dietrich & Harald Pfeifer & Felix Wenzelmann, 2016. "The more they spend, the more I earn? Firms' training investments and post-training wages of apprentices," Economics of Education Working Paper Series 0116, University of Zurich, Department of Business Administration (IBW).
    14. Berger, Johannes & Strohner, Ludwig, 2020. "Documentation of the PUblic Policy Model for Austria and other European countries (PUMA)," Research Papers 11, EcoAustria – Institute for Economic Research.
    15. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    16. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    17. Muhammad Nauman Malik & Masood Sarwar Awan, 2016. "Analysing Econometric Bias and Non-linearity in Returns to Education of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 837-851.
    18. Maria Manuel Campos & Hugo Reis, 2018. "Returns to schooling in the Portuguese economy: a reassessment," Public Sector Economics, Institute of Public Finance, vol. 42(2), pages 215-242.
    19. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    20. Oancea, Bogdan & Pospisil, Richard & Dragoescu, Raluca, 2017. "The return to higher education: evidence from Romania," MPRA Paper 81720, University Library of Munich, Germany.

    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:fgv:epgewp:793. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/epgvfbr.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.