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Caracterización de los Cambios en la Desigualdad y la Pobreza en Argentina Haciendo Uso de Técnicas de Descomposiciones Microeconometricas (1992-2001)

Author

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  • Monserrat Bustelo

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

Abstract

La pobreza y la desigualdad de los ingresos laborales y familiares en Argentina han experimentado un sostenido incremento a lo largo de la última década. Como es sabido el ingreso laboral es el producto entre el salario y las horas trabajadas. Si bien importantes resultados han surgido al analizar los cambios producidos en los determinantes del salario, las horas trabajadas han recibido menor atención por parte de la literatura. Es por ello que este trabajo busca caracterizar el impacto en la desigualdad del ingreso y en la pobreza que surge de los cambios experimentados por los determinantes de las horas trabajadas haciendo uso de técnicas de descomposiciones microeconométricas. Adicionalmente se persigue profundizar los estudios previos de medición del efecto distributivo que surge de cambios en los determinantes de los salarios por medio de la metodología de Quantile Regression.

Suggested Citation

  • Monserrat Bustelo, 2004. "Caracterización de los Cambios en la Desigualdad y la Pobreza en Argentina Haciendo Uso de Técnicas de Descomposiciones Microeconometricas (1992-2001)," CEDLAS, Working Papers 0013, CEDLAS, Universidad Nacional de La Plata.
  • Handle: RePEc:dls:wpaper:0013
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    References listed on IDEAS

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    1. Mariana Marchionni & Leonardo Gasparini, 2007. "Tracing out the effects of demographic changes on the income distribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 97-114, April.
    2. Mariana Marchionni & Leonardo Gasparini, 2003. "Tracing out the Effects of Demographic Changes on the Income Distribution. The Case of Greater Buenos Aires 1980-2000," CEDLAS, Working Papers 0004, CEDLAS, Universidad Nacional de La Plata.
    3. Leonardo Gasparini, 2005. "Protección Social y Empleo en América Latina: Estudio sobre la Base de Encuestas de Hogares," CEDLAS, Working Papers 0017, CEDLAS, Universidad Nacional de La Plata.
    4. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    5. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, pages 7-40.
    6. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    7. 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.
    8. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    9. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, December.
    10. Leonardo Gasparini & Walter Sosa, 2001. "Assessing Aggregate Welfare: Growth and Inequality in Argentina," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 38(113), pages 49-71.
    11. 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.
    12. Moshe Buchinsky, 2001. "Quantile regression with sample selection: Estimating women's return to education in the U.S," Empirical Economics, Springer, vol. 26(1), pages 87-113.
    13. Cesar Patricio Bouillon & Arianna Legovini & Nora Lustig, 2003. "Rising Inequality in Mexico: Household Characteristics and Regional Effects," Journal of Development Studies, Taylor & Francis Journals, vol. 39(4), pages 112-133.
    14. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
    15. 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

    Keywords

    pobreza; desigualdad del ingreso; descomposiciones; horas trabajadas; salario; Quantile Regression; Argentina.;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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