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The distributive effects of education: an unconditional quantile regression approach

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  • Alejo, Javier
  • Gabrielli, Florencia
  • Sosa Escudero, Walter

Abstract

We use recent unconditional quantile regression methods (UQR) to study the distributive eects of education in Argentina. Standard methods usually focus on mean effects, or explore distributive effects by either making stringent modeling assumptions, and/or through counterfactual decompositions that require several temporal observations. An empirical case shows the exibility and usefulness of UQR methods. Our application for the case of Argentina shows that education contributed positively to increased inequality in Argentina, mostly due to the effect of strongly heterogeneous effects of education on earnings.

Suggested Citation

  • Alejo, Javier & Gabrielli, Florencia & Sosa Escudero, Walter, 2011. "The distributive effects of education: an unconditional quantile regression approach," MPRA Paper 42933, University Library of Munich, Germany, revised 2012.
    • Handle: RePEc:pra:mprapa:42933
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    References listed on IDEAS

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    1. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    2. Javier Alejo, 2006. "Desigualdad Salarial en el Gran Buenos Aires: Una Aplicación de Regresión por Cuantiles en Microdescomposiciones," CEDLAS, Working Papers 0036, CEDLAS, Universidad Nacional de La Plata.
    3. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    4. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    5. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    6. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    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. repec:ran:wpaper:824 is not listed on IDEAS
    9. Walter Sosa Escudero & Sergio Petralia, 2010. "“I Can Hear the Grass Grow”: The Anatomy of Distributive Changes in Argentina," CEDLAS, Working Papers 0106, CEDLAS, Universidad Nacional de La Plata.
    10. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
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    Cited by:

    1. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    2. repec:zbw:rwirep:0455 is not listed on IDEAS
    3. Schreurs, Eloi & Peeters, Ludo & Van Passel, Steven, 2014. "Analyzing the impacts of soil contamination and urban development pressure on farmland values: Unconditional quantile regression estimation," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182741, European Association of Agricultural Economists.
    4. Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Mathias G. Sinning, 2013. "Locus of Control and Savings," Ruhr Economic Papers 0455, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. Cobb-Clark, Deborah A. & Kassenboehmer, Sonja C. & Sinning, Mathias G., 2016. "Locus of control and savings," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 113-130.
    6. Roxana Maurizio & Luis Beccaria & Ana Monsalvo, 2022. "Labour Formalization and Inequality: The Distributive Impact of Labour Formalization in Latin America since 2000," Development and Change, International Institute of Social Studies, vol. 53(1), pages 117-165, January.
    7. Stefan Schneck, 2020. "Self-employment as a source of income inequality," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 45-64, March.
    8. Schneck, Stefan, 2018. "The effect of self-employment on income inequality," Working Papers 05/18, Institut für Mittelstandsforschung (IfM) Bonn.
    9. Dai Binh Tran & Sasiwimon Warunsiri Paweenawat, 2023. "The returns to education and wage penalty from overeducation: New evidence from Vietnam," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1267-1290, October.
    10. Ebru Çaglayan Akay & Fulden Komuryakan, 2021. "What Do Conditional and Unconditional Quantile Regression Models Tell Us Something Different About Wage Inequality in Turkey?," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 64(64), pages 257-277, December.
    11. Darío Judzik & Lucía Trujillo & Soledad Villafañe, 2017. "A tale of two decades: Income inequality and public policy in Argentina (1996-2014)," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 36(72), October.
    12. Tiiu Paas & Maryna Tverdostup, 2016. "Assessment of labour market returns in the case of gender unique human capital," ERSA conference papers ersa16p157, European Regional Science Association.
    13. Petra Sauer & Philippe Van Kerm & Daniele Checchi, 2023. "Higher Education Expansion & Labour Income Inequality in High-income Countries: A Gender-specific Perspective," LIS Working papers 837, LIS Cross-National Data Center in Luxembourg.

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    More about this item

    Keywords

    unconditional quantile regression; income inequality; education; Argentina;
    All these keywords.

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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