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Desempeño De Los Establecimientos Educativos:¿Un Problema De Recursos, Capacidades Organizacionales O Nivel Socioeconómico?

Author

Listed:
  • Claudio Thieme

    (Facultad de Economía y Empresa, Universidad Diego Portales)

  • Diego Prior

    (Dpt. d'Economia de l'Empresa Universitat Autònoma de Barcelona)

  • Víctor Giménez

    (Dpt. d'Economia de l'Empresa Universitat Autònoma de Barcelona)

  • Emili Tortosa

    (Departament d'Economia)

Abstract

El estudio utiliza la metodología de order-m para medir la eficiencia de los establecimientos educativos. De esta manera supera los grandes inconvenientes de los estudios tradicionales en esta línea de investigación que dicen relación con su carácter determinista y el impacto que podrían tener los outliers sobre la estimación. El estudio calcula conjuntamente el indicador de “máximo output potencial” que se refiere al máximo mejoramiento de resultados que podría alcanzar la escuela, ya sea manteniendo las condiciones de contexto u obteniendo una mejora de largo plazo. A partir de ello podemos establecer cuánto debería modificarse la dotación de recursos para alcanzar estos niveles óptimos de resultados. En consecuencia, el estudio posibilita determinar los requerimientos de mejora de gestión y de dotación de recursos que permitan a establecimientos con estudiantes de menor nivel socioeconómico obtener máximos resultados en el mediano y largo plazo. Se trata por tanto de una metodología que proporciona información relevante para la política pública de cualquier país. La metodología propuesta se aplica en una muestra de 277 establecimientos de educación básica de Chile de los que se cuenta completa información de recursos, de capacidades organizacionales y de resultados a través de una prueba estandarizada. Todos ellos a nivel de escuela. Los resultados muestran que los recursos físicos y humanos son más importantes que la eficiencia de gestión y que el nivel socioeconómico de los alumnos para alcanzar niveles máximos de resultados de logro académico. Se corrobora la existencia de gaps tecnológicos entre escuelas de distinto nivel socioeconómico, siendo la brecha que separa al grupo más pobre de la sociedad con el inmediatamente superior la más profunda. Las diferencias de desempeño entre escuelas son estadísticamente explicadas por las capacidades de gestión directiva en recursos humanos.

Suggested Citation

  • Claudio Thieme & Diego Prior & Víctor Giménez & Emili Tortosa, 2010. "Desempeño De Los Establecimientos Educativos:¿Un Problema De Recursos, Capacidades Organizacionales O Nivel Socioeconómico?," Working Papers 14, Facultad de Economía y Empresa, Universidad Diego Portales.
    • Handle: RePEc:ptl:wpaper:14
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    References listed on IDEAS

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    1. Haddad, W.D. & Carnoy, M. & Rinaldi, R. & Regel, O., 1990. "Education And Development; Evidence For New Priorities," World Bank - Discussion Papers 95, World Bank.
    2. V Giménez & D Prior & C Thieme, 2007. "Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 996-1007, August.
    3. Pierre Ouellette & Valerie Vierstraete, 2005. "An evaluation of the efficiency of Quebec's school boards using the Data Envelopment Analysis method," Applied Economics, Taylor & Francis Journals, vol. 37(14), pages 1643-1653.
    4. Eric A. Hanushek, 1998. "Conclusions and controversies about the effectiveness of school resources," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Mar), pages 11-27.
    5. Rolf Färe & Shawna Grosskopf & William L. Weber, 1989. "Measuring School District Performance," Public Finance Review, , vol. 17(4), pages 409-428, October.
    6. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    7. Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-323, July.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    10. Maria-Jesus Mancebb & Eduardo Bandres, 1999. "Efficiency Evaluation in Secondary Schools: the key role of model specification and of ex post analysis of results," Education Economics, Taylor & Francis Journals, vol. 7(2), pages 131-152.
    11. Alejandra Mizala & Pilar Romaguera & Dario Farren, 2002. "The technical efficiency of schools in Chile," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1533-1552.
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