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Evaluando el Impacto de Subsidios Escolares en Bolivia: Una Aproximación No-Paramétrica Reducida

Author

Listed:
  • Werner L. Hernani-Limarino

    (Fundación ARU)

Abstract

Este documento evalúa el impacto del programa de subsidio escolar en Bolivia, Bono Juancito Pinto (BJP), sobre la asistencia escolar. El BJP es una transferencia monetaria relativamente pequeña (menos de 30 dólares por niño al año) condicionada a estar matriculado en una escuela pública y asistir regularmente a clases. Como no existen alternativas factibles de un grupo de control, utilizamos simples modelos de comportamiento para entender la decisión de escuela-trabajo y derivamos contrafactuales de interés. La estimación es conducida utilizando estimadores de regresiones de Kernel bidimensionales. Los resultados sugieren que el BJP ha sido exitoso en aumentar la asistencia escolar solo para niños más jóvenes – 6 a 8 años de edad, y particularmente a niñas. La conclusión es que el BJP ha motivado solamente la matriculación de los niños a una edad adecuada pero no ha dado incentivos adicionales para asistir a aquellos que ya se matricularon alguna vez.

Suggested Citation

  • Werner L. Hernani-Limarino, 2015. "Evaluando el Impacto de Subsidios Escolares en Bolivia: Una Aproximación No-Paramétrica Reducida," Working Papers 06/2015, Fundación Aru.
    • Handle: RePEc:aru:wpaper:201506
    as

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    File URL: http://www.aru.org.bo/REPEC/pdf/evaluando_el_impacto_de_subsidios_escolares_en_bolivia.pdf
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    References listed on IDEAS

    as
    1. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
    2. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
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    Cited by:

    1. Carla Canelas & Miguel Niño‐Zarazúa, 2019. "Schooling and Labor Market Impacts of Bolivia's Bono Juancito Pinto Program," Population and Development Review, The Population Council, Inc., vol. 45(S1), pages 155-179, December.
    2. Carla Canelas & Miguel Niño-Zarazúa, 2018. "Schooling and labour market impacts of Bolivia's Bono Juancito Pinto," WIDER Working Paper Series wp-2018-36, World Institute for Development Economic Research (UNU-WIDER).
    3. Carla Canelas & Miguel Niño-Zarazúa, 2018. "Schooling and labour market impacts of Bolivia’s Bono Juancito Pinto," WIDER Working Paper Series 036, World Institute for Development Economic Research (UNU-WIDER).

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    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I2 - Health, Education, and Welfare - - Education
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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