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Marginal Comparisons With the Best and the Efficiency Measurement Problem

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  • Kim, Yangseon
  • Schmidt, Peter

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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 26 (2008)
Issue (Month): (April)
Pages: 253-260

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Handle: RePEc:bes:jnlbes:v:26:y:2008:p:253-260

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  1. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
  2. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA.
  3. 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.
  4. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
  5. Arellano, Manuel, 1990. "Testing for Autocorrelation in Dynamic Random Effects Models," Review of Economic Studies, Wiley Blackwell, vol. 57(1), pages 127-34, January.
  6. William C. Horrace, 2002. "Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k," Econometrics 0206007, EconWPA.
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Cited by:
  1. Fraser, Iain & Horrace, William C., 2002. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," 2002 Conference (46th), February 13-15, 2002, Canberra 125084, Australian Agricultural and Resource Economics Society.
  2. 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.
  3. 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.

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