Marginal Comparisons With the Best and the Efficiency Measurement Problem
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- 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.
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Cited by:
- 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.
- I. Fraser & W. Horrace, 2003.
"Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates,"
Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
- 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, Australia 125084, Australian Agricultural and Resource Economics Society.
- Iain Fraser & William C. Horrace, 2002. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Public Economics 0206001, University Library of Munich, Germany, revised 11 May 2003.
- William C. Horrace & Christopher F. Parmeter, 2018.
"A Laplace stochastic frontier model,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
- 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.
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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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