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Public School Efficiency Using Data Envelopment Analysis: An Empirical Application For Brazil

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  • Isabel Raposo
  • Tatiane Menezes

    ()

Abstract

This paper studies the educational efficiency as determined only by the variables directly controlled by the school, isolated from the influence of other environmental characteristics, such as student's socioeconomic status, that might influence efficiency as well. An alternative application of Simar and Wilson (2007) two-stage DEA's approach is adopted using data from public schools in the basic education level from the Northeast Region of Brazil. The results have showed that the rank of efficiency becomes much more homogeneous after isolating from the effect of environmental variables as compared to the rank produced from a simple one-stage DEA.

Suggested Citation

  • Isabel Raposo & Tatiane Menezes, 2011. "Public School Efficiency Using Data Envelopment Analysis: An Empirical Application For Brazil," ERSA conference papers ersa11p1594, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa11p1594
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    References listed on IDEAS

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    1. Afonso, Antonio & St. Aubyn, Miguel, 2006. "Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs," Economic Modelling, Elsevier, vol. 23(3), pages 476-491, May.
    2. Maria Sousa & Borko Stošić, 2005. "Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers," Journal of Productivity Analysis, Springer, vol. 24(2), pages 157-181, October.
    3. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    6. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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