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Assessing The Efficiency Of Public Schools Using Data Envelopment Analysis And Frontier Regression




"The cost efficiency of 520 New York school districts is measured using data envelopment analysis and stochastic frontier regression. Mean inefficiency is 14% using either method, and the rank order correlation coefficient of inefficiency between the two methods is 86. The three largest school districts (Buffalo, Rochester, and Syracuse) are among the most efficient. Student test scores are output variables, and socioeconomic control variables are included to adjust for the harshness of the educational environment in which districts operate. (JEL" C29, C61, 121) Copyright 1999 Western Economic Association International.

Suggested Citation

  • John Ruggiero & Donald F. Vitaliano, 1999. "Assessing The Efficiency Of Public Schools Using Data Envelopment Analysis And Frontier Regression," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 321-331, July.
  • Handle: RePEc:bla:coecpo:v:17:y:1999:i:3:p:321-331

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    References listed on IDEAS

    1. Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
    2. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    3. Vitaliano, Donald F. & Toren, Mark, 1994. "Cost and efficiency in nursing homes: a stochastic frontier approach," Journal of Health Economics, Elsevier, vol. 13(3), pages 281-300, October.
    4. Barrow, Michael M., 1991. "Measuring local education authority performance: A frontier approach," Economics of Education Review, Elsevier, vol. 10(1), pages 19-27, March.
    5. 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.
    6. 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.
    7. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    8. Ruggiero, John, 1996. "Efficiency of Educational Production: An Analysis of New York School Districts," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 499-509, August.
    9. 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.
    10. Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
    11. 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.
    12. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    13. Donald F. Vitaliano, 1997. "X-Inefficiency in the Public Sector: the Case of Libraries," Public Finance Review, , vol. 25(6), pages 629-643, November.
    14. Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, vol. 16(3), pages 313-327, June.
    15. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    16. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    17. Duncombe, William & Miner, Jerry & Ruggiero, John, 1995. "Potential cost savings from school district consolidation: A case study of New York," Economics of Education Review, Elsevier, vol. 14(3), pages 265-284, September.
    18. Donald F. Vitaliano & Mark Toren, 1996. "Hospital Cost and Efficiency in a Regime of Stringent Regulation," Eastern Economic Journal, Eastern Economic Association, vol. 22(2), pages 161-175, Spring.
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    More about this item

    JEL classification:

    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis


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