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Determinantes de la eficiencia educativa en la Unión Europea

Author

Listed:
  • Justo de Jorge Moreno

    () (Universidad de Alcalá)

  • Daniel Santín

    () (Universidad Complutense de Madrid)

Abstract

One of the main concerns in the European Union (EU) is to improving educational achievements and the efficiency of the educational systems. In this work we analyse the educational efficiency in 18 European countries through a methodology that employs the pupil as decision making unit using PISA database. We calculate a whole frontier using data envelopment analysis (DEA) for the analysed pupils faced up to their own education. Efficiency scores are explained taking into account pupil, school, and country factors affecting the productive process. Results show that simply belonging to a country, repeating grade or even to be educated in a good managed school explains a high proportion of European pupils’ efficiency.

Suggested Citation

  • Justo de Jorge Moreno & Daniel Santín, 2010. "Determinantes de la eficiencia educativa en la Unión Europea," Hacienda Pública Española, IEF, vol. 193(2), pages 131-156, June.
  • Handle: RePEc:hpe:journl:y:2010:v:193:i:2:p:131-156
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    References listed on IDEAS

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    1. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, pages 668-697.
    2. A. Bessent & W. Bessent & J. Kennington & B. Reagan, 1982. "An Application of Mathematical Programming to Assess Productivity in the Houston Independent School District," Management Science, INFORMS, pages 1355-1367.
    3. Deller, Steven C. & Rudnicki, Edward, 1993. "Production efficiency in elementary education: The case of Maine public schools," Economics of Education Review, Elsevier, vol. 12(1), pages 45-57, March.
    4. 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.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, pages 1078-1092.
    6. Banker, Rajiv D. & Janakiraman, Surya & Natarajan, Ram, 2004. "Analysis of trends in technical and allocative efficiency: An application to Texas public school districts," European Journal of Operational Research, Elsevier, vol. 154(2), pages 477-491, April.
    7. António Afonso & Ludger Schuknecht & Vito Tanzi, 2005. "Public sector efficiency: An international comparison," Public Choice, Springer, vol. 123(3), pages 321-347, June.
    8. Dills, Angela K., 2005. "Does cream-skimming curdle the milk? A study of peer effects," Economics of Education Review, Elsevier, vol. 24(1), pages 19-28, February.
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    Cited by:

    1. Agustín Molina Morales & Ignacio Amate Fortes & Almudena Guarnido, 2013. "Institutions and Public Expenditure on Education in OECD Countries," Hacienda Pública Española, IEF, vol. 204(1), pages 67-84, March.

    More about this item

    Keywords

    DEA; productive efficiency; education;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D20 - Microeconomics - - Production and Organizations - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education

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