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Alternative Technical Efficiency Measures: Skew, Bias, and Scale


Qu Feng


Nanyang Technological University

William C. Horrace


Syracuse University - Department of Economics; National Bureau of Economic Research (NBER)

March 1, 2010

Syracuse University Center for Policy Research Working Paper No. 121

Abstract:     
In the fixed-effects stochastic frontier model an efficiency measure relative to the best firm in the sample is universally employed. This paper considers a new measure relative to the worst firm in the sample. We find that estimates of this measure have smaller bias than those of the traditional measure when the sample consists of many firms near the efficient frontier. Moreover, a two-sided measure relative to both the best and the worst firms is proposed. Simulations suggest that the new measures may be preferred depending on the skewness of the inefficiency distribution and the scale of efficiency differences.

Number of Pages in PDF File: 30

Keywords: stochastic frontier model, relative efficiency measure, two-sided measure, bias, bootstrap confidence intervals

JEL Classification: C15, C23, D24

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Date posted: April 12, 2011  

Suggested Citation

Feng, Qu and Horrace, William C., Alternative Technical Efficiency Measures: Skew, Bias, and Scale (March 1, 2010). Syracuse University Center for Policy Research Working Paper No. 121. Available at SSRN: http://ssrn.com/abstract=1807145 or http://dx.doi.org/10.2139/ssrn.1807145

Contact Information

Qu Feng
Nanyang Technological University ( email )
HSS 04-53, 14 Nanyang Drive
Singapore, 639798
Singapore
HOME PAGE: http://qfeng@ntu.edu.sg
William C. Horrace (Contact Author)
Syracuse University - Department of Economics ( email )
Syracuse, NY 13244-1020
United States
315-443-9061 (Phone)
315-443-1081 (Fax)
HOME PAGE: http://faculty.maxwell.syr.edu/whorrace
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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