IDEAS home Printed from https://ideas.repec.org/a/lap/journl/555.html
   My bibliography  Save this article

Estimating the Returns to Education in Argentina Using Quantile Regression Analysis: 1992-2002

Author

Listed:
  • Ariel Fiszbein

    (World Bank)

  • Paula Inés Giovagnoli

    (Center for Distribution, Labor and Social Studies (CEDLAS), UNLP)

  • Harry Anthony Patrinos

    (World Bank)

Abstract

There are countless estimates of the average returns to education which looks at the effect of an additional year of schooling on the conditional mean distribution of salaries. Recent international works suggest that there are variations from the average return to education across the population. That is why in this paper we examine this possibility for the case of Argentina over a ten year period. We estimate returns to schooling at different quantiles of the conditional distribution of wages using quantile regression method. We test whether there is individual heterogeneity in returns to education and find that: over time, while males have higher returns to schooling at the higher quantile, women’s returns are highest at the lowest quantile. The evidence is suggesting that while lower ability women may benefit more from schooling the reverse is true for men. Our findings have potential implications for the expansion of educational opportunities in Argentina.

Suggested Citation

  • Ariel Fiszbein & Paula Inés Giovagnoli & Harry Anthony Patrinos, 2007. "Estimating the Returns to Education in Argentina Using Quantile Regression Analysis: 1992-2002," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 53-72, January-D.
    • Handle: RePEc:lap:journl:555
    as

    Download full text from publisher

    File URL: http://www.depeco.econo.unlp.edu.ar/economica/ing/resumen-articulo.php?param=3¶m2=5
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Psacharopoulos,George & Collis,Victoria & Patrinos,Harry Anthony & Vegas,Emiliana, 2020. "Lost Wages : The COVID-19 Cost of School Closures," Policy Research Working Paper Series 9246, The World Bank.
    2. Fasih,Tazeen & Patrinos,Harry Anthony & Shafiq,M. Najeeb, 2020. "Economic Crises and Returns to University Education in Middle-Income Countries : Stylized Facts and COVID-19 Projections," Policy Research Working Paper Series 9472, The World Bank.
    3. Anuneeta Mitra, 2016. "Education and earning linkages of regular and casual workers in India: a quantile regression approach," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 18(1), pages 147-174, October.
    4. Walter Sosa Escudero & Javier Alejo & Leonardo Gasparini & Gabriel Montes Rojas, 2021. "A decomposition method to evaluate the "paradox of progress", with evidence for Argentina," Asociación Argentina de Economía Política: Working Papers 4523, Asociación Argentina de Economía Política.
    5. Chuang, Yih-chyi & Lai, Wei-wen, 2010. "Heterogeneity, comparative advantage, and return to education: The case of Taiwan," Economics of Education Review, Elsevier, vol. 29(5), pages 804-812, October.

    More about this item

    Keywords

    Returns to schooling; wages; quantile regressions;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:lap:journl:555. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Milagros Cejas (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.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.