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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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  • Sergio Perelman
  • Daniel Santin

Abstract

The aim of the present paper is to examine the observed differences in Students' test performance across public and private-voucher schools in Spain. For this purpose, we explicitly consider that education is a multi-input multi-output production process subject to inefficient behaviors, which can be identified at student level using a parametric stochastic distance function approach. The empirical application of this model, based on Spanish data from the Programme for International Student Assessment implemented by the Organization for Economic Co-operation and Development in 2003, allows us to identify different aspects of the underlying educational technology. Among other things, the results provide insights into how student background, peer group, school characteristics and personal circumstances interact with educational outputs. Moreover, our findings suggest that, once educational inputs and potential bias due to school choice endogeneity are taken into account, no further unexplained difference remains between students' efficiency levels across public and private-voucher schools.

Suggested Citation

  • Sergio Perelman & Daniel Santin, 2011. "Measuring educational efficiency at student level with parametric stochastic distance functions: an application to Spanish PISA results," Education Economics, Taylor & Francis Journals, vol. 19(1), pages 29-49.
  • Handle: RePEc:taf:edecon:v:19:y:2011:i:1:p:29-49
    DOI: 10.1080/09645290802470475
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    References listed on IDEAS

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    1. 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.
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    1. repec:pal:jorsoc:v:68:y:2017:i:4:d:10.1057_jors.2015.93 is not listed on IDEAS
    2. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    3. Mancebón-Torrubia, María-Jesús & Calero, Jorge & Choi, Álvaro & Ximénez-de-Embún, Domingo P., 2010. "Efficiency of public and publicly-subsidised high schools in Spain. Evidence from PISA 2006," MPRA Paper 21165, University Library of Munich, Germany.
    4. José Manuel Cordero Ferrera & Manuel Muñiz Pérez & Rosa Simancas Rodríguez, 2015. "The influence of socioeconomic factors on cognitive and non-cognitive educational outcomes," Investigaciones de Economía de la Educación volume 10,in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 21, pages 413-438 Asociación de Economía de la Educación.
    5. Eva Crespo-Cebada & Francisco Pedraja-Chaparro & Daniel Santín, 2014. "Does school ownership matter? An unbiased efficiency comparison for regions of Spain," Journal of Productivity Analysis, Springer, vol. 41(1), pages 153-172, February.
    6. José Manuel Cordero & Diego Prior & Rosa Simancas, 2016. "A comparison of public and private schools in Spain using robust nonparametric frontier methods," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(3), pages 659-680, September.
    7. repec:spr:annopr:v:245:y:2016:i:1:d:10.1007_s10479-015-1823-7 is not listed on IDEAS
    8. José Manuel Cordero Ferrera & Eva Crespo Cebada & Francisco Pedraja & Rosa Simancas Rodríguez, 2011. "El rendimiento educativo y sus determinantes según PISA: Una revisión de la literatura en España," Investigaciones de Economía de la Educación volume 6,in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 2, pages 40-56 Asociación de Economía de la Educación.
    9. Paolo Liberati & Raffaele Lagravinese & Giuliano Resce, 2017. "How Does Economic Social And Cultural Status Affect The Efficiency Of Educational Attainments? A Comparative Analysis On Pisa Results," Departmental Working Papers of Economics - University 'Roma Tre' 0217, Department of Economics - University Roma Tre.
    10. repec:pal:jorsoc:v:68:y:2017:i:4:d:10.1057_jors.2015.42 is not listed on IDEAS
    11. Cordero, José Manuel & Cristobal, Victor & Santín, Daniel, 2017. "Causal Inference on Education Policies: A Survey of Empirical Studies Using PISA, TIMSS and PIRLS," MPRA Paper 76295, University Library of Munich, Germany.
    12. Susana Faria & Maria Conceição Portela, 2016. "Student Performance in Mathematics using PISA-2009 data for Portugal," Working Papers de Gestão (Management Working Papers) 01, Católica Porto Business School, Universidade Católica Portuguesa.
    13. Manuel Antonio Muñiz Pérez & Javier Suárez Pandiello, 2011. "Educación en valores y competencias sociales: Diferencias (o no) entre institutos públicos y colegios concertados," Investigaciones de Economía de la Educación volume 6,in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 12, pages 208-222 Asociación de Economía de la Educación.
    14. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    15. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    16. Aparicio, Juan & Crespo-Cebada, Eva & Pedraja-Chaparro, Francisco & Santín, Daniel, 2017. "Comparing school ownership performance using a pseudo-panel database: A Malmquist-type index approach," European Journal of Operational Research, Elsevier, vol. 256(2), pages 533-542.
    17. 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.
    18. Solis, Daniel & Agar, Juan & del Corral, Julio, 2015. "The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196639, Southern Agricultural Economics Association.
    19. Santín, Daniel & Sicilia, Gabriela, 2012. "The educational efficiency drivers in Uruguay: Findings from PISA 2009," MPRA Paper 48420, University Library of Munich, Germany.
    20. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    21. Mongan, Juan Carlos & Santin, Daniel & Valiño, Aurelia, 2011. "Towards the equality of educational opportunity in the province of Buenos Aires," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 583-596, July.
    22. 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.
    23. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.

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