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Discriminación Salarial en la Argentina: Un Análisis Distributivo


  • María Gabriela Farfán

    () (Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS) - FCE - UNLP)

  • María Florencia Ruiz Díaz

    () (Universidad Nacional de La Plata)


The aim of this paper is to evaluate the existence of gender wage discrimination in Argentina. The methodology used is the one proposed by Gradín, Del Río y Cantó (2006), which emphasizes the importance of considering the individual wage gap when analyzing discrimination and follows an analogy with the poverty and deprivation literature. Two alternative estimation methods are used (OLS and QR), and the hypotheses of “glass ceiling” and “sticky floor” are evaluated on the groups with higher and lower education respectively. El siguiente trabajo intenta evaluar el fenómeno de la discriminación salarial por género en la Argentina. Se utiliza la metodología presentada en Gradín, Del Río y Cantó (2006), que enfatiza la dimensión individual del fenómeno de discriminación y propone una metodología de análisis haciendo una analogía con la literatura de pobreza. Se utilizan dos métodos de estimación alternativos para la ecuación de salarios (MCO y QR) y se evalúa la presencia de los fenómenos conocidos como “Glass ceiling” y “Sticky floor” en los grupos de individuos calificados y no calificados respectivamente.

Suggested Citation

  • María Gabriela Farfán & María Florencia Ruiz Díaz, 2007. "Discriminación Salarial en la Argentina: Un Análisis Distributivo," CEDLAS, Working Papers 0060, CEDLAS, Universidad Nacional de La Plata.
  • Handle: RePEc:dls:wpaper:0060

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    References listed on IDEAS

    1. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    3. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 979-1014.
    4. Leonardo Gasparini & Mariana Marchionni & Walter Sosa Escudero, 2000. "Characterization of inequality changes through microeconometric decompositions. The case of Greater Buenos Aires," Department of Economics, Working Papers 025, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, March.
    6. 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.
    7. Cameron,A. Colin & Trivedi,Pravin K., 2008. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9787111235767, March.
    8. Gasparini, Leonardo & Alejo, Javier & Haimovich, Francisco & Olivieri, Sergio & Tornarolli, Leopoldo, 2007. "Poverty among the Elderly in Latin America and the Caribbean," MPRA Paper 42957, University Library of Munich, Germany.
    9. Martín Cicowiez & Javier Alejo & Luciano Di Gresia & Sergio Olivieri & World Bank & Ana Pacheco, 2016. "Export Taxes, World Prices, and Poverty in Argentina: A Dynamic CGEMicrosimulation Analysis
      [model, Argentina. Classification-JEL: C68, D58, I38, E62]
      ," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 24-54.
    10. Ricardo N. Bebczuk, 2008. "Financial Inclusion in Latin America and the Caribbean: Review and Lessons," CEDLAS, Working Papers 0068, CEDLAS, Universidad Nacional de La Plata.
    11. Lloyd-Sherlock, Peter, 2000. "Old Age and Poverty in Developing Countries: New Policy Challenges," World Development, Elsevier, vol. 28(12), pages 2157-2168, December.
    12. Leonardo Gasparini & Mariana Marchionni & Federico Gutierrez, 2004. "Simulating Income Distribution Changes in Bolivia: a Microeconometric Approach," CEDLAS, Working Papers 0012, CEDLAS, Universidad Nacional de La Plata.
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    More about this item


    discriminación salarial por género; análisis distributivo; “glass ceiling”; “sticky floor”;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • D3 - Microeconomics - - Distribution

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