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Assessing school efficiency in Portugal using FDH and bootstrapping

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Author Info
Maria Alberta Oliveira
Carlos Santos

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Abstract

This study explores a new data set that contains information both on inputs and outputs for a sample of Portuguese secondary schools. An FDH reference technology is used to determine radial technical efficiency scores and slacks. Although it is known that there is no reason to assume convexity in the study of education efficiency frontiers, this is the first study ever to use FDH at the school level, effectively relaxing the convexity assumption. A two--stage approach is used, whereby the significant environmental variables that explain FDH efficiency scores and slacks are identified. For the purpose of statistical inference, the first application of the bootstrapping algorithms suggested by Simar and Wilson (2003) is conducted. The study concludes that the unemployment rate, access to health care services, adult education and living infrastructures are determinants of school efficiency. The differences between the coast and the interior of Portugal seem to be more relevant, as far as school efficiency is concerned, than whether or not the school belongs to one of the major coast metropolitan areas.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 37 (2005)
Issue (Month): 8 (May)
Pages: 957-968
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Handle: RePEc:taf:applec:v:37:y:2005:i:8:p:957-968

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. António Afonso & Miguel St. Aubyn, 2004. "Non-parametric Approaches to Education and Health Expenditure Efficiency in OECD Countries," Working Papers 2004/01, Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon.. [Downloadable!]
  2. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-frontier measures of efficiency, progress and regress for time series data," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 83-97, April. [Downloadable!] (restricted)
  3. Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
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  4. Pastor, Jose M, 2002. "Credit Risk and Efficiency in the European Banking System: A Three-Stage Analysis," Applied Financial Economics, Taylor and Francis Journals, vol. 12(12), pages 895-911, December. [Downloadable!] (restricted)
  5. Gonzalez, X M & Miles, D, 2002. "Statistical Precision of DEA: A Bootstrap Application to Spanish Public Services," Applied Economics Letters, Taylor and Francis Journals, vol. 9(2), pages 127-32, February. [Downloadable!] (restricted)
  6. Dusansky, Richard & Wilson, Paul W, 1994. "Technical Efficiency in the Decentralized Care of the Developmentally Disabled," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 340-45, May. [Downloadable!] (restricted)
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  1. M. C. Portela & A. S. Camanho, 2007. "Performance Assessment of Portuguese Secondary Schools," Documentos de Trabalho em Economia (Working Papers in Economics) 07, Faculdade de Economia e Gestão, Universidade Católica Portuguesa (Porto). [Downloadable!]
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