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Exploring Educational Efficiency Divergences Across Spanish Regions In Pisa 2006

Author

Listed:
  • JOSÉ MANUEL CORDERO FERRERA

    (University of Extremadura)

  • EVA CRESPO CEBADA

    (University of Extremadura)

  • FRANCISCO PEDRAJA CHAPARRO

    (University of Extremadura)

  • DANIEL SANTÍN GONZÁLEZ

    (Complutense University of Madrid)

Abstract

Recently published results from the PISA 2006 Report show the existence of significant differences in performance scores among students from different Spanish regions participating in this evaluation. The aim of this paper is to use the information provided by this dataset in order to identify the causes of those divergences after controlling for educational inputs and environmental variables. For this purpose, we explicitly consider that education is a multi-input multi-output production process subject to inefficient behaviours, which can be identified at student level using a parametric stochastic distance function approach. Our findings suggest that La Rioja and Castile-Leon are the most efficient regions in Spain while Andalusia, Catalonia and the group composed of the regions that do not participate in the PISA with an extended sample are the worst. In addition, we conclude that most divergences in efficiency are attributable to students who are immigrants or repeating some course. In contras, other factors such as class size or the type of school ownership do not seem to account for differences in students’ performance.

Suggested Citation

  • José Manuel Cordero Ferrera & Eva Crespo Cebada & Francisco Pedraja Chaparro & Daniel Santín González, 2011. "Exploring Educational Efficiency Divergences Across Spanish Regions In Pisa 2006," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(3), pages 117-145, Winter.
  • Handle: RePEc:rev:reveca:v:19:y:2011:i:3:p:117-145
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    References listed on IDEAS

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    Cited by:

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    2. Recep BİNDAK, 0. "Lojistik Regresyon Analizi ile Pisa Araştırmasında Öğrenci Başarısının Modellenmesi," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 14(28), pages 57-74.
    3. Tommaso Agasisti & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: An Overview of Methodological Approaches," JRC Research Reports JRC106681, Joint Research Centre.
    4. Camanho, Ana S. & Varriale, Luisa & Barbosa, Flávia & Sobral, Thiago, 2021. "Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1188-1208.
    5. Agasisti, Tommaso & Cordero-Ferrera, Jose M., 2013. "Educational disparities across regions: A multilevel analysis for Italy and Spain," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1079-1102.
    6. Daniel Santín & Gabriela Sicilia, 2015. "Measuring the efficiency of public schools in Uruguay: main drivers and policy implications," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-28, December.

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    More about this item

    Keywords

    Efficiency; Education; parametric distance function;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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