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Explorando los cambios de la pobreza en Argentina: 2003-2015

Author

Listed:
  • Jessica Bracco

    (Centro de Estudios Distributivos Laborales y Sociales (CEDLAS) - Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata)

  • Leonardo Gasparini

    (Centro de Estudios Distributivos Laborales y Sociales (CEDLAS) - Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata - CONICET)

  • Leopoldo Tornarolli

    (Centro de Estudios Distributivos Laborales y Sociales (CEDLAS) - Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata)

Abstract

Este trabajo explora los cambios en la pobreza de ingresos en Argentina durante el período 2003-2015 utilizando diversas metodologías de descomposición. Los resultados sugieren que la mejora generalizada en el mercado laboral luego de la crisis fue el principal factor detrás de la fuerte caída de la pobreza en el período 2003-2007. En contraste, la reducción de la pobreza durante la etapa 2007-2011 está asociada al papel más activo que tomó la política social. Finalmente, durante el período 2011-2015 ningún factor contribuyó significativamente a la reducción de la pobreza. This paper explores the changes in income poverty in Argentina during the period 2003-2015 using various decomposition methodologies. The results suggest that the generalized improvement in the labor market after the crisis was the main factor behind the sharp fall in poverty in the period 2003-2007. In contrast, the reduction of poverty between 2007 and 2011 is associated with the most active role played by social policy. Finally, during the period 2011-2015, no factor could contribute significantly to the reduction of poverty

Suggested Citation

  • Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019. "Explorando los cambios de la pobreza en Argentina: 2003-2015," CEDLAS, Working Papers 0245, CEDLAS, Universidad Nacional de La Plata.
    • Handle: RePEc:dls:wpaper:0245
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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. Gabriela Inchauste & João Pedro Azevedo & B. Essama-Nssah & Sergio Olivieri & Trang Van Nguyen & Jaime Saavedra-Chanduvi & Hernan Winkler, 2014. "Understanding Changes in Poverty," World Bank Publications - Books, The World Bank Group, number 19445.
    3. Ricardo Paes de Barros & Mirela de Carvalho & Samuel Franco & Rosane Mendonça, 2006. "Uma Análise das Principais Causas da Queda Recente na Desigualdade de Renda Brasileira," Discussion Papers 1203, Instituto de Pesquisa Econômica Aplicada - IPEA.
    4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    5. Joao Pedro Azevedo & Minh Cong Nguyen & Viviane Sanfelice, 2012. "ADECOMP: Stata module to estimate Shapley Decomposition by Components of a Welfare Measure," Statistical Software Components S457562, Boston College Department of Economics, revised 12 Jan 2019.
    6. Leopoldo Tornarolli, 2018. "Series Comparables de Indigencia y Pobreza: Una Propuesta Metodológica," CEDLAS, Working Papers 0226, CEDLAS, Universidad Nacional de La Plata.
    7. Francois Bourguignon & Francisco H.G. Ferreira & Nora Lustig, 2005. "The Microeconomics of Income Distribution Dynamics in East Asia and Latin America," World Bank Publications - Books, The World Bank Group, number 14844.
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    Cited by:

    1. Maria Emma Santos, 2022. "Pobreza Multidimensional post-pandemia en una ciudad intermedia: el caso de Bahía Blanca," Asociación Argentina de Economía Política: Working Papers 4598, Asociación Argentina de Economía Política.

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    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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