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Impacto del programa Ser Pilo Paga en el acceso a la educación superior de los jóvenes rurales
[Impact of the Ser Pilo Paga Program on Access to Higher Education for Rural Youth]

Author

Listed:
  • Diego Andrés Romero Viuche

    (Universidad de los Andes)

Abstract

Este estudio examina el impacto del programa de mérito Ser Pilo Paga, un crédito-beca para estudiantes con necesidades socioeconómicas; en él, se evalúa el acceso a etapas avanzadas de estudiantes rurales colombianos en la educación superior. Mediante un diseño de regresión discontinua, se utiliza como proxy la presentación del examen Saber Pro y se estima el efecto causal del programa utilizando datos de 214.423 egresados rurales de grado 11 en los años 2014 y 2015. Los resultados revelan que Ser Pilo Paga aumentó la probabilidad de acceso a etapas avanzadas en 33,65 puntos porcentuales (82%) en 2014 y en 15,10 puntos porcentuales (33,5%) en 2015, en comparación con el grupo de control. A su vez, se estimó el efecto agrupando los años donde los resultados son un aumento de 20,89 puntos porcentuales (48,6%). Estos hallazgos sugieren que un programa de mérito tiene un impacto considerable en la reducción de las desigualdades educativas para los estudiantes rurales, evidenciando que es una herramienta efectiva para mejorar la equidad educativa en contextos de alta vulnerabilidad.

Suggested Citation

  • Diego Andrés Romero Viuche, 2025. "Impacto del programa Ser Pilo Paga en el acceso a la educación superior de los jóvenes rurales [Impact of the Ser Pilo Paga Program on Access to Higher Education for Rural Youth]," Documentos CEDE 2025-29, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:021545
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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