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Marginal Comparisons with the Best ant the Efficiency Measurment Problem

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  • Yangseon Kim
  • Peter Schmidt

Abstract

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Suggested Citation

  • Yangseon Kim & Peter Schmidt, 2007. "Marginal Comparisons with the Best ant the Efficiency Measurment Problem," Working Papers 0703, University of Crete, Department of Economics, revised 01 Dec 2006.
  • Handle: RePEc:crt:wpaper:0703
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    File URL: http://economics.soc.uoc.gr/wpa/docs/0703.pdf
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    References listed on IDEAS

    as
    1. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, pages 77-105.
    2. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    3. Manuel Arellano, 1990. "Testing for Autocorrelation in Dynamic Random Effects Models," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 127-134.
    4. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
    5. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA.
    6. William C. Horrace, 2002. "Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k," Econometrics 0206007, EconWPA.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, pages 169-190.
    2. Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.
    3. William C. Horrace & Christopher F. Parmeter, 2014. "A Laplace Stochastic Frontier Model," Center for Policy Research Working Papers 166, Center for Policy Research, Maxwell School, Syracuse University.

    More about this item

    Keywords

    marginal comparisons; production efficiency; confidence intervals;

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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