A DEA-inspired model to evaluate the efficiency of education in OECD countries

  1. Ignacio Contreras Rubio 1
  2. Carlota Dominguez-Gil 1
  1. 1 Universidad Pablo de Olavide
    info

    Universidad Pablo de Olavide

    Sevilla, España

    ROR https://ror.org/02z749649

Revista:
Revista de métodos cuantitativos para la economía y la empresa

ISSN: 1886-516X

Año de publicación: 2021

Volumen: 31

Páginas: 329-346

Tipo: Artículo

DOI: 10.46661/REVMETODOSCUANTECONEMPRESA.4318 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista de métodos cuantitativos para la economía y la empresa

Resumen

En el presente trabajo se presenta un modelo para el estudio de la eficiencia de los sistemas educativos de los países de la OCDE. A partir de la información publicada en el informe PISA 2015, se utiliza la metodología del Análisis Envolvente de Datos (DEA) para analizar la eficiencia en el uso de los recursos destinados a la educación en los países OCDE. Siguiendo la línea de anteriores estudios, se consideran los principales recursos destinados a la educación, esto es, recursos materiales, recursos humanos y tiempo dedicado a la enseñanza. De manera alternativa a los estudios anteriores, no se consideran las puntuaciones medias de los exámenes como las salidas del sistema. En nuestro estudio, la cuantificación de los resultados se realiza a través de los porcentajes de estudiantes que alcanzan cada nivel de desempeño en las pruebas normalizadas realizadas en PISA. Se desarrolla un nuevo modelo de evaluación basado en el modelo aditivo dentro de la metodología DEA, en el que tanto la formulación como los objetivos se adaptan a las características de las variables propuestas. Considerando que el valor agregado de las salidas está fijado y que los pesos que deben asignarse a cada output deben estar ordenados, el modelo evalúa los posibles movimientos de outputs desde las categorías menos valoradas a las más valoradas.

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Información de financiación

This work has been partially funded by the Ministry of Science, Research and Universities, project PGC2018-095786-B-I00.

Financiadores

    • PGC2018-095786-B-I00

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