Measuring technical efficiency in the stochastic varying coefficient frontier model
AbstractDue to the assumption that the best practice methods refer to each input separately instead of the whole set of inputs used by a firm, the benchmark technology as defined in the stochastic varying coefficient frontier model may be infeasible and theoretically improper whenever the maximum response coefficients are not coming from the same production unit. To overcome this problem, we propose alternative measures of output-oriented and single-factor technical efficiencies inspired from the maximum likelihood formulation of the nonneutral frontier model. The empirical results indicate that there are significant differences between the two in terms of the estimated efficiency scores but not significant differences we detected in terms of the efficiency ranking. Copyright (c) 2009 International Association of Agricultural Economists.
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Bibliographic InfoArticle provided by International Association of Agricultural Economists in its journal Agricultural Economics.
Volume (Year): 40 (2009)
Issue (Month): 4 (07)
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- Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Measuring Technical Efficiency in the Stochastic Varying Coefficient Frontier Model," Working Papers 0725, University of Crete, Department of Economics.
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
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- Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
- Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2012. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
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