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Daniel Santín
(Daniel Santin)

Personal Details

First Name:Daniel
Middle Name:
Last Name:Santín
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RePEc Short-ID:psa244
https://scholar.google.es/citations?hl=es&user=KPX3ExsAAAAJ&view_op=list_works
Department of Applied, Political and Public Economics Facultad de CC. Económicas y Empresariales Universidad Complutense de Madrid Campus de Somosaguas Pozuelo de Alarcón 28223 Madrid, Spain

Affiliation

Instituto Complutense de Analisis Economico (ICAE)
Facultad de Ciencias Económicas y Empresariales
Universidad Complutense de Madrid

Madrid, Spain
http://www.ucm.es/icae/

91 394 2611
91 394 2613
Campus de Somosaguas, 28223 MADRID
RePEc:edi:icucmes (more details at EDIRC)

Research output

as
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Working papers

  1. 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.
  2. Aparicio, Juan & Santín, Daniel, 2017. "A note on measuring group performance over time with pseudo-panels," MPRA Paper 79063, University Library of Munich, Germany.
  3. 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.
  4. Pedraja Chaparro, Francisco & Santín González, Daniel & Simancas Rodríguez, Rosa, 2013. "The Impact of Immigrant Concentration in Schools on Grade Retention in Spain: a Difference-in-Differences Approach," MPRA Paper 46888, University Library of Munich, Germany.
  5. Santín, Daniel & Sicilia, Gabriela, 2012. "The educational efficiency drivers in Uruguay: Findings from PISA 2009," MPRA Paper 48420, University Library of Munich, Germany.
  6. Sergio Perelman & Pierre Pestieau & Daniel Santin, 2009. "Pourquoi les performances des élèves flamands et francophones sont- elles différentes: une analyse par la méthode des frontières stochastiques," CREPP Working Papers 0906, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
  7. Perelman, Sergio & Santín, David, 2008. "Imposing Weak Monotonicity on Parametric Distance Function Estimations," Efficiency Series Papers 2008/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  8. Sergio Perelman & Daniel Santin, 2005. "On the generation of a regular multi-input multi-output technology using parametric output distance functions," CREPP Working Papers 0507, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
  9. Sergio Perelman & Daniel Santin, 2005. "Measuring educational efficiency at student level with parametric stochastic distance functions: An application to Spanish PISA results," CREPP Working Papers 0504, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
  10. Rosa Romay López & Daniel Santín González & Enrique González Arangüena, 2004. "Las Prestaciones por Incapacidad Temporal: Una Evaluación mediante Modelos ARIMA," Economic Working Papers at Centro de Estudios Andaluces E2004/36, Centro de Estudios Andaluces.
  11. Santin, Daniel, 2004. "On the Approximation of Production Functions: A Comparison of Artificial Neural Networks Frontiers and Efficiency Techniques," Efficiency Series Papers 2004/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  12. Daniel Santín González, 2003. "Descentralización y financiación de la Universidad Pública en Latinoamérica: Algunas propuestas a partir del caso español," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales 03-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  13. Daniel Santín González & Aurelia Valiño Castro, 2002. "Comparing neural networks and efficiency techniques in non-linear production functions," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales 02-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  14. Santín, Daniel & Delgado, Francisco & Valiño, Aurelia, 2001. "Measuring Technical Efficiency with Neural Networks: a Review," Efficiency Series Papers 2001/09, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  15. Daniel Santín González, 2001. "Influencia de los factores socioeconómicos en el rendimiento escolar internacional: Hacia la igualdad de oportunidades educativas," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales 01-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  16. Daniel Santín González, 1999. "Detección de alumnos de riesgo y medición de la eficiencia de centros escolares mediante redes neuronales," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales 99-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  17. Daniel Santín González, 1998. "Eficiencia relativa de las Comunidades Autónomas en Enseñanza Secundaria: un enfoque socioeconómico," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales 98-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  18. Daniel Santín González, "undated". "La Estimación De La Función De Producción Educativa En Valor Añadido Mediante Redes Neuronales: Una Aplicación Para El Caso Español," Working Papers 5-03 Classification-JEL :, Instituto de Estudios Fiscales.

Articles

  1. Jose M. Cordero & Cristina Polo & Daniel Santín, 2020. "Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation," Operational Research, Springer, vol. 20(4), pages 2245-2265, December.
  2. Laura López-Torres & Diego Prior & Daniel Santín, 2019. "Assessing the effect of educational programs on public schools’ performance," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5205-5226, October.
  3. Daniel Santín & Gabriela Sicilia, 2018. "Does preschool education attendance matter? Evidence from a natural experiment in Spain," Applied Economics, Taylor & Francis Journals, vol. 50(47), pages 5050-5063, October.
  4. José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
  5. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
  6. Aparicio, Juan & Santin, Daniel, 2018. "A note on measuring group performance over time with pseudo-panels," European Journal of Operational Research, Elsevier, vol. 267(1), pages 227-235.
  7. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.
  8. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
  9. José Manuel Cordero & Daniel Santín & Rosa Simancas, 2017. "Assessing European primary school performance through a conditional nonparametric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 364-376, April.
  10. 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.
  11. Antonio García-Romero & Daniel Santín & Gabriela Sicilia, 2016. "Another brick in the wall: a new ranking of academic journals in Economics using FDH," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 91-101, April.
  12. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.
  13. Francisco Pedraja-Chaparro & Daniel Santín & Rosa Simancas, 2016. "The impact of immigrant concentration in schools on grade retention in Spain: a difference-in-differences approach," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1978-1990, May.
  14. Pedraja-Chaparro, Francisco & Santín, Daniel & Simancas, Rosa, 2015. "Determinants of grade retention in France and Spain: Does birth month matter?," Journal of Policy Modeling, Elsevier, vol. 37(5), pages 820-834.
  15. 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.
  16. 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.
  17. 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.
  18. Sergio Perelman & Daniel Santin, 2011. "Imposing monotonicity on outputs in parametric distance function estimations," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4651-4661.
  19. 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.
  20. 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.
  21. 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.
  22. CORDERO FERRERA, José Manuel & CRESPO CEBADA, Eva & SANTÍN GONZÁLEZ, Daniel, 2010. "Factors Affecting Educational Attainment: Evidence From Spanish Pisa 2006 Results," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 10(3).
  23. Justo de Jorge Moreno & Daniel Santín, 2010. "Determinantes de la eficiencia educativa en la Unión Europea," Hacienda Pública Española / Review of Public Economics, IEF, vol. 193(2), pages 131-156, June.
  24. J M Cordero-Ferrera & F Pedraja-Chaparro & D Santín-González, 2010. "Enhancing the inclusion of non-discretionary inputs in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 574-584, April.
  25. Perelman, Sergio & Santín, Daniel, 2009. "How to generate regularly behaved production data? A Monte Carlo experimentation on DEA scale efficiency measurement," European Journal of Operational Research, Elsevier, vol. 199(1), pages 303-310, November.
  26. Daniel Santin, 2008. "On the approximation of production functions: a comparison of artificial neural networks frontiers and efficiency techniques," Applied Economics Letters, Taylor & Francis Journals, vol. 15(8), pages 597-600.
  27. Daniel Santín, 2006. "Measuring technical efficiency in schools: a critic revision," Hacienda Pública Española / Review of Public Economics, IEF, vol. 177(2), pages 57-82, April.
  28. Daniel Santin & Francisco Delgado & Aurelia Valino, 2004. "The measurement of technical efficiency: a neural network approach," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 627-635.
  29. Daniel Santín González & Rosa Romay López, 2003. "El control del gasto público por incapacidad temporal mediante redes neuronales," Hacienda Pública Española / Review of Public Economics, IEF, vol. 165(2), pages 53-78, June.
  30. Daniel Santín González, 2001. "La Necesidad De Gasto En Educación No Universitaria En Las Comunidades Autónomas: ¿Existe Igualdad De Oportunidades Educativas?," Hacienda Pública Española / Review of Public Economics, IEF, vol. 159(4), December.
  31. Jose Luis Bonifaz F. & Daniel Santin, 2000. "Eficiencia relativa de las empresas distribuidoras de energía eléctrica en el Perú: una aplicación del análisis envolvente de datos (DEA)," Apuntes. Revista de ciencias sociales, Fondo Editorial, Universidad del Pacífico, vol. 27(47), pages 111-138.

Chapters

  1. Daniel Santín & Gabriela Sicilia, 2017. "Impact evaluation and frontier methods in education: a step forward," Chapters, in: Geraint Johnes & Jill Johnes & Tommaso Agasisti & Laura López-Torres (ed.), Handbook of Contemporary Education Economics, chapter 10, pages 211-245, Edward Elgar Publishing.
  2. Carlos Díaz Caro & Daniel Santín González, 2011. "Efectos de una reasignación del porcentaje de inmigrantes en el bienestar social educativo," 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 14, pages 239-257, Asociación de Economía de la Educación.
  3. Eva Crespo Cebada & Daniel Santín González & Francisco Pedraja Chaparro, 2011. "Publicly finance schools productivity comparison for Basque Country through a new Educational Malmquist index approach," 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 13, pages 223-238, Asociación de Economía de la Educación.
  4. Eva Crespo Cebada & Francisco Pedraja Chaparro & Daniel Santin Gonzalez, 2010. "¿Escuela pública o concertada? Una comparación mediante un índice de Malmquist educativo," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 34, pages 673-688, Asociación de Economía de la Educación.

Books

  1. Nuria Badenes Plá & M.ª Teresa López López & Carolina Navarro Ruiz & Jorge Onrubia Fernández & César Pérez López & Daniel Santín González & Aurelia Valiño Castro, 2008. "Análisis de datos en la investigación social de la familia [Data analysis in social research on the family]," Colección Acción Familiar, Grupo de Investigación en Políticas de Familia de la Universidad Complutense de Madrid; Acción Familiar (AFA), edition 1, volume 8, number 08 edited by Editorial Cinca & Fundación Acción Familiar, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. 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.

    Cited by:

    1. Adeniran, Adedeji & Ishaku, Joseph & Akanni, Lateef Olawale, 2020. "Is Nigeria experiencing a learning crisis: Evidence from curriculum-matched learning assessment," International Journal of Educational Development, Elsevier, vol. 77(C).
    2. Gil-Izquierdo, María & Cordero, José Manuel, 2017. "Guidelines for data fusion with international large scale assessments: Insights from the TALIS-PISA link," MPRA Paper 79781, University Library of Munich, Germany.
    3. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    4. Schnepf, Sylke, 2018. "Insights into survey errors of large scale educational achievement surveys," Working Papers 2018-05, Joint Research Centre, European Commission (Ispra site).
    5. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.

  2. Aparicio, Juan & Santín, Daniel, 2017. "A note on measuring group performance over time with pseudo-panels," MPRA Paper 79063, University Library of Munich, Germany.

    Cited by:

    1. Martin Boďa & Mariana Považanová, 2020. "Productivity patterns in Europe: adaptation of the Malmquist index to measuring group performance and productivity change over time," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 949-989, November.
    2. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    3. 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.
    4. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.

  3. 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.

    Cited by:

    1. 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.
    2. KONISHI Yoko & NISHIMURA Yoshihiko, 2013. "A Note on the Identification of Demand and Supply Shocks in Production: Decomposition of TFP," Discussion papers 13099, Research Institute of Economy, Trade and Industry (RIETI).
    3. David J. Mayston, 2017. "Data envelopment analysis, endogeneity and the quality frontier for public services," Annals of Operations Research, Springer, vol. 250(1), pages 185-203, March.
    4. Ioanna G. Gkiza & Stefanos A. Nastis, 2017. "Health and Women’s Role in Agricultural Production Efficiency," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(3), pages 428-440.
    5. Juan Aparicio & Jose Manuel Cordero & Carlos Díaz-Caro, 2020. "Efficiency and productivity change of regional tax offices in Spain: an empirical study using Malmquist–Luenberger and Luenberger indices," Empirical Economics, Springer, vol. 59(3), pages 1403-1434, September.
    6. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    7. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    8. Nirmalkumar Singh Moirangthem & Barnali Nag, 2020. "Developing a Framework of Regional Competitiveness Using Macro and Microeconomic Factors and Evaluating Sources of Change in Regional Competitiveness in India Using Malmquist Productivity Index," International Journal of Global Business and Competitiveness, Springer, vol. 15(2), pages 61-79, December.
    9. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.
    10. David J. Mayston, 2015. "Data envelopment analysis, endogeneity and the quality frontier for public services," Discussion Papers 15/05, Department of Economics, University of York.

  4. Pedraja Chaparro, Francisco & Santín González, Daniel & Simancas Rodríguez, Rosa, 2013. "The Impact of Immigrant Concentration in Schools on Grade Retention in Spain: a Difference-in-Differences Approach," MPRA Paper 46888, University Library of Munich, Germany.

    Cited by:

    1. Tommaso Agasisti & Ekaterina Abalmasova & Ekaterina Shibanova & Aleksei Egorov, 2019. "The Causal Impact Of Performance-Based Funding On University Performance: Quasi-Experimental Evidence From A Policy In Russian Higher Education," HSE Working papers WP BRP 221/EC/2019, National Research University Higher School of Economics.
    2. 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.

  5. Sergio Perelman & Daniel Santin, 2005. "On the generation of a regular multi-input multi-output technology using parametric output distance functions," CREPP Working Papers 0507, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.

    Cited by:

    1. Rahmatallah Poudineh and Tooraj Jamasb, 2015. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).

  6. Sergio Perelman & Daniel Santin, 2005. "Measuring educational efficiency at student level with parametric stochastic distance functions: An application to Spanish PISA results," CREPP Working Papers 0504, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.

    Cited by:

    1. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    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. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    7. Cordero, José Manuel & Prior, Diego & Simancas Rodríguez, Rosa, 2013. "A comparison of public and private schools in Spain using robust nonparametric frontier methods," MPRA Paper 51375, University Library of Munich, Germany.
    8. Mladen Stamenković & Ivan Anić & Marijana Petrović & Nataša Bojković, 2016. "An ELECTRE approach for evaluating secondary education profiles: evidence from PISA survey in Serbia," Annals of Operations Research, Springer, vol. 245(1), pages 337-358, October.
    9. 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.
    10. 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.
    11. José Manuel Cordero & Daniel Santín & Rosa Simancas, 2017. "Assessing European primary school performance through a conditional nonparametric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 364-376, April.
    12. 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.
    13. 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.
    14. Élisé Wendlassida Miningou & Jean-Marc Bernard & Medjy Pierre-Louis, 2019. "Improving learning outcomes in Francophone Africa: More resources or improved efficiency?," Cahiers de recherche 19-01, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Laura Di Giorgio & Abraham D Flaxman & Mark W Moses & Nancy Fullman & Michael Hanlon & Ruben O Conner & Alexandra Wollum & Christopher J L Murray, 2016. "Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
    20. 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.
    21. 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.
    22. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.
    23. Delprato, Marcos & Antequera, Germán, 2021. "School efficiency in low and middle income countries: An analysis based on PISA for development learning survey," International Journal of Educational Development, Elsevier, vol. 80(C).
    24. Paola Azar & Federico González & Leonel Muinelo-Gallo, 2018. "The efficiency of Uruguayan secondary schools: Evidence based on PISA 2015 data," Documentos de Trabajo (working papers) 18-14, Instituto de Economia - IECON.
    25. Melo-Becerra, Ligia Alba & Hahn-De-Castro, Lucas Wilfried & Ariza, Dalma Sofía & Carmona, Cristian Oswaldo, 2020. "Efficiency of local public education in a decentralized context," International Journal of Educational Development, Elsevier, vol. 76(C).
    26. Santín, Daniel & Sicilia, Gabriela, 2012. "The educational efficiency drivers in Uruguay: Findings from PISA 2009," MPRA Paper 48420, University Library of Munich, Germany.
    27. 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.
    28. Giambona, Francesca & Porcu, Mariano, 2018. "School size and students' achievement. Empirical evidences from PISA survey data," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 66-77.
    29. 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.
    30. 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.
    31. 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.

  7. Santin, Daniel, 2004. "On the Approximation of Production Functions: A Comparison of Artificial Neural Networks Frontiers and Efficiency Techniques," Efficiency Series Papers 2004/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Kwon, He-Boong, 2017. "Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 159-170.
    2. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    3. Lee, Jooh & Kwon, He-Boong, 2017. "Progressive performance modeling for the strategic determinants of market value in the high-tech oriented SMEs," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 91-102.

  8. Daniel Santín González, 1998. "Eficiencia relativa de las Comunidades Autónomas en Enseñanza Secundaria: un enfoque socioeconómico," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales 98-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.

    Cited by:

    1. Jose Luis Bonifaz F. & Daniel Santin, 2000. "Eficiencia relativa de las empresas distribuidoras de energía eléctrica en el Perú: una aplicación del análisis envolvente de datos (DEA)," Apuntes. Revista de ciencias sociales, Fondo Editorial, Universidad del Pacífico, vol. 27(47), pages 111-138.

Articles

  1. José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
    See citations under working paper version above.
  2. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.

    Cited by:

    1. José Manuel Cordero & Carlos Díaz Caro & Francisco Pedraja Chaparro & Cristina Polo Fernández, 2020. "Tributos cedidos y eficiencia en la gestión tributaria de las Comunidades Autónomas," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 75-112, March.

  3. Aparicio, Juan & Santin, Daniel, 2018. "A note on measuring group performance over time with pseudo-panels," European Journal of Operational Research, Elsevier, vol. 267(1), pages 227-235.
    See citations under working paper version above.
  4. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.

    Cited by:

    1. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.

  5. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.

    Cited by:

    1. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.

  6. José Manuel Cordero & Daniel Santín & Rosa Simancas, 2017. "Assessing European primary school performance through a conditional nonparametric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 364-376, April.

    Cited by:

    1. Badin, Luiza & Daraio, Cinzia & Simar, Leopold, 2018. "A Bootstrap Approach for Bandwidth Selection in Estimating Conditional Efficiency Measures," LIDAM Discussion Papers ISBA 2018007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    3. Aparicio, Juan & Santín, Daniel, 2017. "A note on measuring group performance over time with pseudo-panels," MPRA Paper 79063, University Library of Munich, Germany.
    4. Aparicio, Juan & Cordero, Jose M. & Ortiz, Lidia, 2019. "Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    5. Daraio, Cinzia & Simar, Leopold & Wilson, Paul W., 2019. "Fast and efficient computation of directional distance estimators," LIDAM Reprints ISBA 2019022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Pessino, Carola & Izquierdo, Alejandro & Vuletin, Guillermo, 2018. "Better Spending for Better Lives: How Latin America and the Caribbean Can Do More with Less," IDB Publications (Books), Inter-American Development Bank, number 9152, February.
    7. Delprato, Marcos & Antequera, Germán, 2021. "School efficiency in low and middle income countries: An analysis based on PISA for development learning survey," International Journal of Educational Development, Elsevier, vol. 80(C).
    8. Aparicio, Juan & Cordero, Jose M. & Gonzalez, Martin & Lopez-Espin, Jose J., 2018. "Using non-radial DEA to assess school efficiency in a cross-country perspective: An empirical analysis of OECD countries," Omega, Elsevier, vol. 79(C), pages 9-20.

  7. 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.

    Cited by:

    1. Aparicio, Juan & Santín, Daniel, 2017. "A note on measuring group performance over time with pseudo-panels," MPRA Paper 79063, University Library of Munich, Germany.
    2. Martin Boďa & Mariana Považanová, 2020. "Productivity patterns in Europe: adaptation of the Malmquist index to measuring group performance and productivity change over time," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 949-989, November.
    3. 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.
    4. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    5. 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.
    6. Santos, Sérgio P. & São José, José M.S., 2018. "Measuring and decomposing the gender pay gap: A new frontier approachAuthor-Name: Amado, Carla A.F," European Journal of Operational Research, Elsevier, vol. 271(1), pages 357-373.
    7. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.
    8. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    9. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.

  8. Antonio García-Romero & Daniel Santín & Gabriela Sicilia, 2016. "Another brick in the wall: a new ranking of academic journals in Economics using FDH," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 91-101, April.

    Cited by:

    1. Kristof De Witte & Fritz Schiltz, 2017. "Measuring and explaining organizational effectiveness of school districts: evidence from a robust and conditional Benefit-of-the-Doubt approach," Working Papers of LEER - Leuven Economics of Education Research 605791, KU Leuven, Faculty of Economics and Business (FEB), LEER - Leuven Economics of Education Research.
    2. Rosenthal, Edward C. & Weiss, Howard J., 2017. "A data envelopment analysis approach for ranking journals," Omega, Elsevier, vol. 70(C), pages 135-147.
    3. Johan Lyhagen & Per Ahlgren, 2020. "Uncertainty and the ranking of economics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2545-2560, December.

  9. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.

    Cited by:

    1. Nguyen, Trang T.T. & Prior, Diego & Van Hemmen, Stefan, 2020. "Stochastic semi-nonparametric frontier approach for tax administration efficiency measure: Evidence from a cross-country study," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 137-153.
    2. Jose M. Cordero & Cristina Polo & Daniel Santín, 2020. "Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation," Operational Research, Springer, vol. 20(4), pages 2245-2265, December.
    3. Guccio, Calogero & Martorana, Marco & Mazza, Isidoro & Pignataro, Giacomo & Rizzo, Ilde, 2020. "An analysis of the managerial performance of Italian museums using a generalised conditional efficiency model," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    4. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    5. Nikolova, Milena & Popova, Olga, 2020. "Sometimes your best just ain't good enough: The worldwide evidence on subjective well-being efficiency," GLO Discussion Paper Series 596, Global Labor Organization (GLO).
    6. Calogero Guccio & Marco Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2019. "An analysis of the efficiency of Italian museums using a generalised conditional efficiency model," ACEI Working Paper Series AWP-06-2019, Association for Cultural Economics International, revised Dec 2019.

  10. Francisco Pedraja-Chaparro & Daniel Santín & Rosa Simancas, 2016. "The impact of immigrant concentration in schools on grade retention in Spain: a difference-in-differences approach," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1978-1990, May.
    See citations under working paper version above.
  11. Pedraja-Chaparro, Francisco & Santín, Daniel & Simancas, Rosa, 2015. "Determinants of grade retention in France and Spain: Does birth month matter?," Journal of Policy Modeling, Elsevier, vol. 37(5), pages 820-834.

    Cited by:

    1. Pilar Beneito & Pedro Javier Soria-Espín, 2020. "Month of birth and academic performance: differences by gender and educational stage," Discussion Papers in Economic Behaviour 0120, University of Valencia, ERI-CES.
    2. Herbst, Mikołaj & Strawiński, Paweł, 2016. "Early effects of an early start: Evidence from lowering the school starting age in Poland," Journal of Policy Modeling, Elsevier, vol. 38(2), pages 256-271.
    3. Oscar David Marcenaro Gutierrez & Luis Alejandro Lopez-Agudo, 2016. "Disentangling the effect of students’ maturity on academic achievement," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 29, pages 535-550, Asociación de Economía de la Educación.
    4. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    5. Agasisti, Tommaso & Cordero, Jose M., 2017. "The determinants of repetition rates in Europe: Early skills or subsequent parents’ help?," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 129-146.
    6. Mateos Romero, Lucía & Murillo Huertas, Inés P. & Salinas Jiménez, Mª del Mar, 2017. "Wage effects of cognitive skills and educational mismatch in Europe," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 909-927.
    7. Garcia-Mainar, Inmaculada & Montuenga, Victor M., 2019. "The signalling role of over-education and qualifications mismatch," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 99-119.

  12. 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.

    Cited by:

    1. 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.
    2. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    3. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    4. Min, Hokey & Joo, Seong-Jong, 2016. "A comparative performance analysis of airline strategic alliances using data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 99-110.
    5. Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2016. "Technical Efficiency, Unions and Decentralized Labor Contracts," IZA Discussion Papers 10292, Institute of Labor Economics (IZA).
    6. Kohl, Sebastian & Brunner, Jens O., 2020. "Benchmarking the benchmarks – Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1042-1057.
    7. Jose M. Cordero & Cristina Polo & Nickolaos G. Tzeremes, 2020. "Evaluating the efficiency of municipalities in the presence of unobserved heterogeneity," Journal of Productivity Analysis, Springer, vol. 53(3), pages 377-390, June.
    8. Mastromarco, Camilla & Simar, Léopold, 2018. "Globalization and productivity: A robust nonparametric world frontier analysis," Economic Modelling, Elsevier, vol. 69(C), pages 134-149.
    9. Charles Henri DiMaria & Chiara Peroni & Francesco Sarracino, 2020. "Happiness Matters: Productivity Gains from Subjective Well-Being," Journal of Happiness Studies, Springer, vol. 21(1), pages 139-160, January.
    10. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-25, November.
    11. Tommaso Agasisti & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: An Overview of Methodological Approaches," JRC Working Papers JRC106681, Joint Research Centre (Seville site).
    12. Tommaso Agasisti & Ralph Hippe & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: empirical analyses in Europe," JRC Working Papers JRC106678, Joint Research Centre (Seville site).
    13. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.

  13. 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.

    Cited by:

    1. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    2. Aparicio, Juan & Cordero, Jose M. & Pastor, Jesús, 2016. "The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models: modelling and computational aspects," MPRA Paper 72630, University Library of Munich, Germany.
    3. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    4. Aparicio, Juan & Cordero, Jose M. & Ortiz, Lidia, 2019. "Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    5. Delprato, Marcos & Antequera, Germán, 2021. "School efficiency in low and middle income countries: An analysis based on PISA for development learning survey," International Journal of Educational Development, Elsevier, vol. 80(C).
    6. Paola Azar & Federico González & Leonel Muinelo-Gallo, 2018. "The efficiency of Uruguayan secondary schools: Evidence based on PISA 2015 data," Documentos de Trabajo (working papers) 18-14, Instituto de Economia - IECON.
    7. Aparicio, Juan & Cordero, Jose M. & Gonzalez, Martin & Lopez-Espin, Jose J., 2018. "Using non-radial DEA to assess school efficiency in a cross-country perspective: An empirical analysis of OECD countries," Omega, Elsevier, vol. 79(C), pages 9-20.

  14. 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.

    Cited by:

    1. 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.
    2. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    3. Aparicio, Juan & Cordero, Jose M. & Pastor, Jesús, 2016. "The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models: modelling and computational aspects," MPRA Paper 72630, University Library of Munich, Germany.
    4. Gashaw Tadesse ABATE & Gian Nicola FRANCESCONI & Kindie GETNET, 2014. "Impact Of Agricultural Cooperatives On Smallholders’ Technical Efficiency: Empirical Evidence From Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(2), pages 257-286, June.
    5. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    6. Cordero, José Manuel & Prior, Diego & Simancas Rodríguez, Rosa, 2013. "A comparison of public and private schools in Spain using robust nonparametric frontier methods," MPRA Paper 51375, University Library of Munich, Germany.
    7. Kalyan Chakraborty & Richard K. Harper, 2017. "Measuring the Impact of Socio-Economic Factors on School Efficiency in Australia," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(2), pages 163-179, June.
    8. Luque, Mariano & Marcenaro-Gutierrez, Oscar D. & Ruiz, Ana B., 2020. "Evaluating the global efficiency of teachers through a multi-criteria approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    9. Aparicio, Juan & Cordero, Jose M. & Ortiz, Lidia, 2019. "Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    10. 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.
    11. José Manuel Cordero & Daniel Santín & Rosa Simancas, 2017. "Assessing European primary school performance through a conditional nonparametric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 364-376, April.
    12. 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.
    13. 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.
    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. 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.
    16. Santos, Eleonora & Khan, Shahed, 2018. "Is There an Economic Bias in Academic Success? A Regional Perspective," EconStor Preprints 183220, ZBW - Leibniz Information Centre for Economics.
    17. Shawna Grosskopf & Kathy Hayes & Lori L. Taylor, 2014. "Applied efficiency analysis in education," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 19-26.
    18. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.
    19. Aparicio, Juan & Cordero, Jose M. & Gonzalez, Martin & Lopez-Espin, Jose J., 2018. "Using non-radial DEA to assess school efficiency in a cross-country perspective: An empirical analysis of OECD countries," Omega, Elsevier, vol. 79(C), pages 9-20.
    20. 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.
    21. Delprato, Marcos & Chudgar, Amita, 2018. "Factors associated with private-public school performance: Analysis of TALIS-PISA link data," International Journal of Educational Development, Elsevier, vol. 61(C), pages 155-172.
    22. López-Torres, Laura & Nicolini, Rosella & Prior, Diego, 2017. "Does strategic interaction affect demand for school places? A conditional efficiency approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 89-103.

  15. Sergio Perelman & Daniel Santin, 2011. "Imposing monotonicity on outputs in parametric distance function estimations," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4651-4661.

    Cited by:

    1. 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.
    2. 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.
    3. Susaeta, Andres & Sancewich, Brian & Adams, Damian & Moreno, Paulo C., 2019. "Ecosystem Services Production Efficiency of Longleaf Pine Under Changing Weather Conditions," Ecological Economics, Elsevier, vol. 156(C), pages 24-34.

  16. 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.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Tommaso Agasisti & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: An Overview of Methodological Approaches," JRC Working Papers JRC106681, Joint Research Centre (Seville site).
    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.

  17. 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.

    Cited by:

    1. 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.
    2. Rajius Idzalika & Maria C. Lo Bue, 2016. "Opportunities in education: are factors outside individual responsibility really persistent? Evidence from Indonesia, 1997-2007," Working Papers 397, ECINEQ, Society for the Study of Economic Inequality.
    3. Groot, Loek & van der Linde, Daan & Vincent, Charlotte, 2018. "Inequality of opportunity in the United Kingdom, 1991–2008," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1255-1271.
    4. Ponzo, Michela, 2013. "Does bullying reduce educational achievement? An evaluation using matching estimators," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1057-1078.
    5. Michela Ponzo & Vincenzo Scoppa, 2011. "The Long-Lasting Effects Of School Entry Age: Evidence From Italian Students," Working Papers 201101, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    6. 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.
    7. Bhatnagar, Abhishek & Bolia, Nomesh B., 2019. "Improved governance of Indian school system through school consolidation," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1160-1178.

  18. 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.
    See citations under working paper version above.
  19. Justo de Jorge Moreno & Daniel Santín, 2010. "Determinantes de la eficiencia educativa en la Unión Europea," Hacienda Pública Española / Review of Public Economics, IEF, vol. 193(2), pages 131-156, June.

    Cited by:

    1. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    2. Agustín Molina Morales & Ignacio Amate Fortes & Almudena Guarnido, 2013. "Institutions and Public Expenditure on Education in OECD Countries," Hacienda Pública Española / Review of Public Economics, IEF, vol. 204(1), pages 67-84, March.

  20. J M Cordero-Ferrera & F Pedraja-Chaparro & D Santín-González, 2010. "Enhancing the inclusion of non-discretionary inputs in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 574-584, April.

    Cited by:

    1. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    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. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    4. Laura L�pez-Torres & Diego Prior, 2015. "Should we charge environmental factors for poor students' achievement?," Applied Economics Letters, Taylor & Francis Journals, vol. 22(17), pages 1378-1381, November.
    5. Jie Wu & Dacheng Huang & Zhixiang Zhou & Qingyuan Zhu, 2020. "The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions," Annals of Operations Research, Springer, vol. 290(1), pages 27-45, July.
    6. Hwai-Shuh Shieh & Jin-Li Hu & Yong-Ze Ang, 2020. "Efficiency of Life Insurance Companies: An Empirical Study in Mainland China and Taiwan," SAGE Open, , vol. 10(1), pages 21582440209, February.
    7. José Manuel Cordero Ferrera & Francisco Pedraja Chaparro & Javier Salinas Jiménez, 2009. "Efficiency measurement in the Spanish cadastral units through DEA," Working Papers 2009/35, Institut d'Economia de Barcelona (IEB).

  21. Perelman, Sergio & Santín, Daniel, 2009. "How to generate regularly behaved production data? A Monte Carlo experimentation on DEA scale efficiency measurement," European Journal of Operational Research, Elsevier, vol. 199(1), pages 303-310, November.

    Cited by:

    1. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Brissimis, Sophocles & Zervopoulos, Panagiotis, 2011. "Developing a step-by-step effectiveness assessment model for customer-oriented service organizations," MPRA Paper 30765, University Library of Munich, Germany.
    3. Mark Andor & Frederik Hesse, 2014. "The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the “oldies” (SFA and DEA)," Journal of Productivity Analysis, Springer, vol. 41(1), pages 85-109, February.
    4. Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
    5. Kohl, Sebastian & Brunner, Jens O., 2020. "Benchmarking the benchmarks – Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1042-1057.
    6. Jose M. Cordero & Cristina Polo & Daniel Santín, 2020. "Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation," Operational Research, Springer, vol. 20(4), pages 2245-2265, December.
    7. Lars-Erik Borge & Marianne Haraldsvik, 2009. "Efficiency potential and determinants of efficiency: an analysis of the care for the elderly sector in Norway," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(4), pages 468-486, August.
    8. Géraldine Henningsen & Arne Henningsen & Uwe Jensen, 2013. "A Monte Carlo Study on Multiple Output Stochastic Frontiers: Comparison of Two Approaches," IFRO Working Paper 2013/7, University of Copenhagen, Department of Food and Resource Economics.
    9. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    10. Zervopoulos, Panagiotis, 2012. "Dealing with small samples and dimensionality issues in data envelopment analysis," MPRA Paper 39226, University Library of Munich, Germany.
    11. García-Alonso, Carlos R. & Salvador-Carulla, Luis & Fernández-Rodríguez, Vicente, 2015. "Evaluation of system efficiency using the Monte Carlo DEA: The case of small health areasAuthor-Name: Torres-Jiménez, Mercedes," European Journal of Operational Research, Elsevier, vol. 242(2), pages 525-535.
    12. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-25, November.
    13. Krüger, Jens, 2010. "A Monte Carlo study of old and new frontier methods for efficiency measurement," Darmstadt Discussion Papers in Economics 200, Darmstadt University of Technology, Department of Law and Economics.
    14. Julie Harrison & Paul Rouse & Jamie Armstrong, 2012. "Categorical and continuous non-discretionary variables in data envelopment analysis: a comparison of two single-stage models," Journal of Productivity Analysis, Springer, vol. 37(3), pages 261-276, June.
    15. Villanueva-Cantillo, Jeyms & Munoz-Marquez, Manuel, 2021. "Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 290(2), pages 657-670.
    16. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.
    17. Kumbhakar, Subal C., 2012. "Specification and estimation of primal production models," European Journal of Operational Research, Elsevier, vol. 217(3), pages 509-518.
    18. Mellah, Thuraya & Ben Amor, Tawfik, 2016. "Performance of the Tunisian Water Utility: An input-distance function approach," Utilities Policy, Elsevier, vol. 38(C), pages 18-32.
    19. Julia Schaefer & Marcel Clermont, 2018. "Stochastic non-smooth envelopment of data for multi-dimensional output," Journal of Productivity Analysis, Springer, vol. 50(3), pages 139-154, December.

  22. Daniel Santin, 2008. "On the approximation of production functions: a comparison of artificial neural networks frontiers and efficiency techniques," Applied Economics Letters, Taylor & Francis Journals, vol. 15(8), pages 597-600.
    See citations under working paper version above.
  23. Daniel Santin & Francisco Delgado & Aurelia Valino, 2004. "The measurement of technical efficiency: a neural network approach," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 627-635.

    Cited by:

    1. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    2. Francisco J. Delgado, 2005. "Measuring efficiency with neural networks. An application to the public sector," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-10.
    3. Kwon, He-Boong, 2017. "Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 159-170.
    4. Michael Dietrich, 2005. "Using simple neural networks to analyse firm activity," Working Papers 2005014, The University of Sheffield, Department of Economics, revised Jul 2005.
    5. Santin, Daniel, 2004. "On the Approximation of Production Functions: A Comparison of Artificial Neural Networks Frontiers and Efficiency Techniques," Efficiency Series Papers 2004/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    7. Lee, Jooh & Kwon, He-Boong, 2017. "Progressive performance modeling for the strategic determinants of market value in the high-tech oriented SMEs," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 91-102.
    8. Oscar Claveria & Enric Monte & Salvador Torra, 2014. "“A multivariate neural network approach to tourism demand forecasting”," AQR Working Papers 201410, University of Barcelona, Regional Quantitative Analysis Group, revised May 2014.
    9. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    10. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    11. George Halkos & Mike G. Tsionas, 2019. "Accounting for Heterogeneity in Environmental Performance Using Data Envelopment Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1005-1025, October.
    12. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2010. "Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks," European Journal of Operational Research, Elsevier, vol. 206(2), pages 479-487, October.
    13. Azadeh, A. & Ghaderi, S.F. & Anvari, M. & Saberi, M., 2007. "Performance assessment of electric power generations using an adaptive neural network algorithm," Energy Policy, Elsevier, vol. 35(6), pages 3155-3166, June.
    14. Michael Dietrich, 2006. "Neural networks and the evolution of firms and industries: An application to UK SIC34 and SIC72," Working Papers 2006007, The University of Sheffield, Department of Economics, revised May 2006.
    15. Shivi Agarwal, 2016. "DEA-neural networks approach to assess the performance of public transport sector of India," OPSEARCH, Springer;Operational Research Society of India, vol. 53(2), pages 248-258, June.

  24. Jose Luis Bonifaz F. & Daniel Santin, 2000. "Eficiencia relativa de las empresas distribuidoras de energía eléctrica en el Perú: una aplicación del análisis envolvente de datos (DEA)," Apuntes. Revista de ciencias sociales, Fondo Editorial, Universidad del Pacífico, vol. 27(47), pages 111-138.

    Cited by:

    1. Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2006. "Infrastructure Reform in Developing Economies: Evidence from a survey of efficiency measures," ULB Institutional Repository 2013/44062, ULB -- Universite Libre de Bruxelles.
    2. Tim Coelli & Denis Lawrence (ed.), 2006. "Performance Measurement and Regulation of Network Utilities," Books, Edward Elgar Publishing, number 3801.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EDU: Education (3) 2013-05-19 2013-07-28 2017-01-22
  2. NEP-EFF: Efficiency & Productivity (2) 2013-06-16 2013-07-28
  3. NEP-URE: Urban & Real Estate Economics (2) 2013-05-19 2013-07-28
  4. NEP-ECM: Econometrics (1) 2013-06-16
  5. NEP-HIS: Business, Economic & Financial History (1) 2003-02-18
  6. NEP-LAM: Central & South America (1) 2013-07-28
  7. NEP-MIG: Economics of Human Migration (1) 2013-05-19

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