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Monitoring Inefficiency in Public Education

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  • Saito, Yoshie
  • McIntosh, Christopher S.

Abstract

The efficiency of public education is examined using a cost indirect output distance function. Efficiency estimates are obtained using data envelopment analysis applied to data from Georgia public schools. Georgia school districts utilize educational budgets with reasonable efficiency, achieving an overall efficiency of 98% with a range of 93%-100%. If all school districts were 100% efficient, outputs could be expanded 2%. This could be achieved by increasing funding $75.46 million state-wide in total for each of the 3 years. From the consumers’ (voters) point of view, this result suggests that inefficiency costs Georgia, on average, a total of $226.38 million from 1994 to 1996.

Suggested Citation

  • Saito, Yoshie & McIntosh, Christopher S., 2003. "Monitoring Inefficiency in Public Education," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(3), pages 1-13, December.
    • Handle: RePEc:ags:joaaec:43197
    DOI: 10.22004/ag.econ.43197
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    Cited by:

    1. 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.
    2. Donald I. Price & Gregory B. Marsh, 2014. "Forecasting First-Term Collegiate Success from Pre-Enrollment Information," Journal for Economic Educators, Middle Tennessee State University, Business and Economic Research Center, vol. 14(1), pages 17-24, Fall.

    More about this item

    JEL classification:

    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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