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Measuring technical efficiency in schools: a critic revision

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  • Daniel Santín

    () (Universidad Complutense de Madrid)

Abstract

From its origin, the techniques for measuring efficiency in schools have been widely applied to evaluate public expenditure in education. The aim of this study is to make a critic revision over the risks of performing efficiency analysis without considering the special characteristics of education, where production function is so complex. Moreover, this paper proposes decision trees in order to analyze the educational sector. This technique is able to generate logical rules to model the educational production function offering an easy framework to take decisions about the allocation of public expenditure in education. To illustrate these ideas this paper conducts an empirical analysis using a Spanish 15 year old students database from PISA (Programme for International Student Assessment) captured in 2000.

Suggested Citation

  • Daniel Santín, 2006. "Measuring technical efficiency in schools: a critic revision," Hacienda Pública Española, IEF, vol. 177(2), pages 57-82, April.
  • Handle: RePEc:hpe:journl:y:2006:v:177:i:2:p:57-82
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    References listed on IDEAS

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    1. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    4. Hoxby, Caroline M., 1999. "The productivity of schools and other local public goods producers," Journal of Public Economics, Elsevier, vol. 74(1), pages 1-30, October.
    5. Gyimah-Brempong, Kwabena & Gyapong, Anthony O., 1992. "Elasticities of factor substitution in the production of education," Economics of Education Review, Elsevier, vol. 11(3), pages 205-217, September.
    6. Emmanuel Thanssoulis, 1999. "Setting Achievement Targets for School Children," Education Economics, Taylor & Francis Journals, vol. 7(2), pages 101-119.
    7. 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, vol. 28(12), pages 1355-1367, December.
    8. Emmanuel Thanassoulis & Maria Da Conceicao & A. Silva Portela, 2002. "School Outcomes: Sharing the Responsibility Between Pupil and School1," Education Economics, Taylor & Francis Journals, vol. 10(2), pages 183-207.
    9. 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.
    10. Subhash C. Ray, 1991. "Resource-Use Efficiency in Public Schools: A Study of Connecticut Data," Management Science, INFORMS, vol. 37(12), pages 1620-1628, December.
    11. Pritchett, Lant & Filmer, Deon, 1999. "What education production functions really show: a positive theory of education expenditures," Economics of Education Review, Elsevier, vol. 18(2), pages 223-239, April.
    12. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    13. Figlio, David N., 1999. "Functional form and the estimated effects of school resources," Economics of Education Review, Elsevier, vol. 18(2), pages 241-252, April.
    14. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    15. Zanakis, Stelios H. & Becerra-Fernandez, Irma, 2005. "Competitiveness of nations: A knowledge discovery examination," European Journal of Operational Research, Elsevier, vol. 166(1), pages 185-211, October.
    16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    17. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    18. Cox Jr., Louis A. & Popken, Douglas A., 2002. "A hybrid system-identification method for forecasting telecommunications product demands," International Journal of Forecasting, Elsevier, vol. 18(4), pages 647-671.
    19. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    20. 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, vol. 27(6), pages 668-697, June.
    21. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    22. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February.
    23. Jimenez, Emmanuel, 1986. "The structure of educational costs: Multiproduct cost functions for primary and secondary schools in latin America," Economics of Education Review, Elsevier, vol. 5(1), pages 25-39, February.
    24. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    25. Ruggiero, John, 2000. "Measuring technical efficiency," European Journal of Operational Research, Elsevier, vol. 121(1), pages 138-150, February.
    26. 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.
    27. Hanushek, E.A.omson, W., 1996. "Assessing the Effects of School Resources on Student Performance : An Update," RCER Working Papers 424, University of Rochester - Center for Economic Research (RCER).
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    efficiency; public expenditure in education; decision trees.;

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • 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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