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Los determinantes de la malnutrición infantil en Loja

Author

Listed:
  • Jairo Rivera-Vásquez

    (Departamento de Investigación Universidad Andina Simón Bolívar, Quito, Ecuador)

  • Stephany Olarte-Benavides

    (Departamento de Economía, Universidad Técnica Particular de Loja, Loja, Ecuador)

  • Nadya Rivera-Vásquez

    (Universidad Tecnológica Equinoccial, Quito, Ecuador)

Abstract

El Ecuador tiene un problema difícil de malnutrición infantil, donde sus prevalencias de desnutrición crónica y sobrepeso son superiores al promedio latinoamericano. Dentro Del país existe una diversidad de prevalencias entre las provincias, donde Loja presenta indicadores ligeramente superiores al promedio nacional. En ese sentido, esta investigación tiene como objetivo el analizar la malnutrición infantil en Loja y su evolución. La Metodología es cuantitativa, usando las Encuestas de Condiciones de vida de 1999-2006-2014, a través de modelos econométricos con análisis de regresión probabilística. Los Principales resultados del estudio son que la malnutrición infantil presenta diferentes determinantes de desnutrición y sobrepeso, donde la desnutrición se asocia a características del hogar, y el sobrepeso no tiene un determinante definido.

Suggested Citation

  • Jairo Rivera-Vásquez & Stephany Olarte-Benavides & Nadya Rivera-Vásquez, 2021. "Los determinantes de la malnutrición infantil en Loja," Revista Económica, Centro de Investigaciones Sociales y Económicas, Universidad Nacional de Loja, vol. 9(1), pages 55-60.
    • Handle: RePEc:ris:lojare:0093
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    References listed on IDEAS

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    1. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    2. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    3. Vikas Rawal & Jomo Kwame Sundaram & Michael Clark, 2015. "Ending Malnutrition: From Commitment to Action," Working Papers id:7689, eSocialSciences.
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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