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Efficiency in Public Education

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Abstract

The purpose of the paper is to investigate the influence on efficiency in public education from teacher characteristics and private school competition. Using Data Envelopment Analysis (DEA) an efficiency model introduced by Olesen and Petersen (1995) is extended to include the production environment of the schools. This increases the number of dimensions in the DEA why the possibility to discriminate between production units using educational data is discussed. Efficiency is estimated for 851 of Sweden's approximately 1000 secondary schools in 1994/95. Estimated efficiency implies that the schools can use 9-19% less resources on average, still achieving the same results. The efficiency scores are used as dependent variable in a Tobit regression model. Our primary finding is that competition from private schools has a positive influence on the efficiency in public education but that the teacher characteristics do not significantly explain any efficiency differences.

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  • Waldo, Staffan, 2002. "Efficiency in Public Education," Working Papers 2002:10, Lund University, Department of Economics.
  • Handle: RePEc:hhs:lunewp:2002_010
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    File URL: http://project.nek.lu.se/publications/workpap/Papers/WP02_10.pdf
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    1. Duncombe, William & Miner, Jerry & Ruggiero, John, 1997. "Empirical Evaluation of Bureaucratic Models of Inefficiency," Public Choice, Springer, vol. 93(1-2), pages 1-18, October.
    2. Rolf Färe & Shawna Grosskopf & William L. Weber, 1989. "Measuring School District Performance," Public Finance Review, , vol. 17(4), pages 409-428, October.
    3. Bradley, Steve & Johnes, Geraint & Millington, Jim, 2001. "The effect of competition on the efficiency of secondary schools in England," European Journal of Operational Research, Elsevier, vol. 135(3), pages 545-568, December.
    4. 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.
    5. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1999. "Anticipating the Consequences of School Reform: A New Use of DEA," Management Science, INFORMS, vol. 45(4), pages 608-620, April.
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    Cited by:

    1. Bozec, Richard & Dia, Mohamed, 2007. "Board structure and firm technical efficiency: Evidence from Canadian state-owned enterprises," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1734-1750, March.

    More about this item

    Keywords

    Data Envelopment Analysis; Education;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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