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Impacto del Plan Nacer sobre la Mortalidad Infantil en Argentina

Author

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  • Santiago Garriga

    (UNLP)

Abstract

El Plan Nacer es un programa del Ministerio de Salud de la Nación Argentina que invierte recursos con el objetivo de mejorar la cobertura y calidad de los servicios de salud en niños menores de seis años, mujeres embarazadas y puérperas que no poseen obra social. La novedad del mismo radica en la generación de un seguro público de salud para la población materno-infantil sin cobertura social y en la aplicación de un modelo de financiamiento basado en resultados. Este trabajo investiga los efectos del Plan Nacer sobre la mortalidad infantil en la Argentina siguiendo un enfoque no-experimental, basándose particularmente en la metodología de diferencias en diferencias, que consiste en la comparación de condiciones sanitarias entre poblaciones inscriptas y no inscriptas al programa, antes y después de su implementación. La fuente principal de variación es la participación en el programa a nivel departamental. El análisis de impacto realizado considera el caso de un tratamiento en donde las unidades bajo programa están sujetas a distintos grados de exposición al mismo. Los resultados encontrados indican que el Plan Nacer genera una reducción de la tasa de mortalidad infantil. El resultado es ambiguo si se divide a la tasa de mortalidad infantil entre la tasa de mortalidad neonatal, y la tasa de mortalidad post-neonatal: mientras que el Plan tiene un impacto negativo sobre la segunda, no ocurre lo mismo con la primera. Además no parecería existir un efecto del programa sobre la tasa de mortalidad materna.

Suggested Citation

  • Santiago Garriga, 2014. "Impacto del Plan Nacer sobre la Mortalidad Infantil en Argentina," CEDLAS, Working Papers 0168, CEDLAS, Universidad Nacional de La Plata.
    • Handle: RePEc:dls:wpaper:0168
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    File URL: http://cedlas.econo.unlp.edu.ar/archivos_upload/doc_cedlas168.pdf
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    References listed on IDEAS

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    Cited by:

    1. Mr. Mauricio Vargas & Santiago Garriga, 2015. "Explaining Inequality and Poverty Reduction in Bolivia," IMF Working Papers 2015/265, International Monetary Fund.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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