Stochastic Production Frontier and Technical Inefficiency: A Sensitivity Analysis
AbstractThe present paper focuses attention on the sensitivity of technical inefficiency to most commonly used one-sided distributions of the inefficiency error term, namely the truncated normal, the half-normal, and the exponential distributions. A generalized version of the half-normal, which does not embody the zero-mean restriction, is also explored. For each distribution, the likelihood function and the counterpart of the estimator of technical efficiency are explicitly stated (Jondrow, J., Lovell, C. A. K., Materov, I. S., Schmidt, P. (), On estimation of technical inefficiency in the stochastic frontier production function model, J. Econometrics19:233-238). Based on our panel data set, related to Tunisian manufacturing firms over the period 1983-1993, formal tests lead to a strong rejection of the zero-mean restriction embodied in the half normal distribution. Our main conclusion is that the degree of measured inefficiency is very sensitive to the postulated assumptions about the distribution of the one-sided error term. The estimated inefficiency indices are, however, unaffected by the choice of the functional form for the production function.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Econometric Reviews.
Volume (Year): 22 (2003)
Issue (Month): 1 ()
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- Ravallion, Martin, 2005.
"On Measuring Aggregate "Social Efficiency.","
Economic Development and Cultural Change,
University of Chicago Press, vol. 53(2), pages 273-92, January.
- Carlos Martins-FIlho & Feng Yao, 2004. "A Nonparametric Model of Frontiers," Econometric Society 2004 Latin American Meetings 102, Econometric Society.
- Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.
- Martins-Filho, Carlos & Yao, Feng, 2007. "Nonparametric frontier estimation via local linear regression," Journal of Econometrics, Elsevier, vol. 141(1), pages 283-319, November.
- Vincent Mok & Godfrey Yeung & Zhaozhou Han & Zongzhang Li, 2010. "Export orientation and technical efficiency: clothing firms in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 453-463.
- Aivazian, Sergei & Afanasiev, Mikhail, 2009. "Estimation of the Economic Efficiency of a Shift to the Achievable Production Potential," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 15(3), pages 43-55.
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