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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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Author Info
Sergio Perlman
Daniel Santin

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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.

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Publisher Info
Paper provided by Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège in its series CREPP Working Papers with number 0504.

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Date of creation: 2005
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Handle: RePEc:rpp:wpaper:0504

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Related research
Keywords: Secondary schools; technical efficiency; stochastic frontier; distance function.;

References listed on IDEAS
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  7. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September. [Downloadable!] (restricted)
  8. Battese, George E. & Corra, Greg. S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December. [Downloadable!]
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  11. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June. [Downloadable!] (restricted)
    Other versions:
  12. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages F64-F98, February. [Downloadable!] (restricted)
    Other versions:
  13. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June. [Downloadable!] (restricted)
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  16. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February. [Downloadable!] (restricted)
  17. Rafaela Dios Palomares, 2002. "Análisis de interpretación de los parámetros de relación de varianzas en el modelo de frontera estocástica," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 20, pages 365-379, Agosto. [Downloadable!] (restricted)
  18. Figlio, David N., 1999. "Functional form and the estimated effects of school resources," Economics of Education Review, Elsevier, vol. 18(2), pages 241-252, April. [Downloadable!] (restricted)
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