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Measuring educational efficiency at student level with parametric stochastic distance functions: An application to Spanish PISA results

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  • Sergio Perelman
  • Daniel Santin

Abstract

This study explicitly considers that education is a multi-input multi-output production process subject to inefficient behaviors that can be identified at student level. Therefore a distance function allows us to calculate different aspects of educational technology. The paper presents an empirical application of this model using Spanish data from the Programme for International Student Assessment implemented by the OECD. The results provide insights into how student background, peer-group and school characteristics interact with educational outputs. Findings also suggest that, once educational inputs are taken into account; there is no statistically significant difference in efficiency levels across schools regarding public-private ownership.

Suggested Citation

  • Sergio Perelman & Daniel Santin, 2005. "Measuring educational efficiency at student level with parametric stochastic distance functions: An application to Spanish PISA results," CREPP Working Papers 0504, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    • Handle: RePEc:rpp:wpaper:0504
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    1. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    2. Rafaela Dios Palomares, 2002. "Análisis de interpretación de los parámetros de relación de varianzas en el modelo de frontera estocástica," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 20, pages 365-379, Agosto.
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