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Cambios en la Estructura Salarial:Una Historia desde la Regresión Cuantílica

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  • Héctor Manuel Zárate S.

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Abstract

El objetivo principal de éste artículo es analizar el cambio en los retornos de la educación y la experiencia en diferentes puntos de la distribución salarial a través de una aplicación empírica en el mercado laboral colombiano. También, se analiza la evolución de la desigualdad salarial y sus características distribucionales para el período de 1991 a 2000. El artículo se basa en la ecuación de Mincer y utiliza la técnica semi-paramétrica de regresión cuantílica. Los datos se obtienen de las Encuestas Nacionales de Hogares. Aunque los retornos tienen patrones de comportamiento similares, las magnitudes y la variabilidad difieren entre los cuantiles analizados. La desigualdad salarial se incrementó en el final del periodo de estudio de acuerdo a las habilidades de cada grupo.
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Suggested Citation

  • Héctor Manuel Zárate S., 2003. "Cambios en la Estructura Salarial:Una Historia desde la Regresión Cuantílica," Borradores de Economia 245, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:245
    DOI: 10.32468/be.245
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    References listed on IDEAS

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    1. Buchinsky, Moshe, 1995. "Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963-1987," Journal of Econometrics, Elsevier, vol. 65(1), pages 109-154, January.
    2. Deaton, Angus S & Ruiz-Castillo, Javier & Thomas, Duncan, 1989. "The Influence of Household Composition on Household Expenditure Patterns: Theory and Spanish Evidence," Journal of Political Economy, University of Chicago Press, vol. 97(1), pages 179-200, February.
    3. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    4. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    5. Belman, Dale & Heywood, John S, 1991. "Sheepskin Effects in the Returns to Education: An Examination on Women and Minorities," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 720-724, November.
    6. Andrew Weiss, 1995. "Human Capital vs. Signalling Explanations of Wages," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 133-154, Fall.
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    1. Guataqui, Juan Carlos & García Suaza, Andrés Felipe & Rodríguez, Mauricio, 2009. "Estimaciones de los determinantes de los ingresos laborales en Colombia con consideraciones diferenciales para asalariados y cuenta propia," Documentos de Trabajo 005756, Universidad del Rosario.

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