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Measuring Scale Efficiency from the Translog Multi-Input, Multi-Output Distance Function

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  • Subhash Ray

    (University of Connecticut)

Abstract

Ray (1998) developed measures of input- and output-oriented scale efficiency that can be directly computed from an estimated Translog frontier production function. This note extends the earlier results from Ray (1998) to the multiple-output multiple input case.

Suggested Citation

  • Subhash Ray, 2003. "Measuring Scale Efficiency from the Translog Multi-Input, Multi-Output Distance Function," Working papers 2003-25, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2003-25
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    References listed on IDEAS

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    1. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    2. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    3. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
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    Cited by:

    1. Qushim, Berdikul & Bhandari, Basu & Gillespie, Jeffrey & Scaglia, Guillermo, 2017. "Grass-Fed Beef Enterprise Efficiency Analysis in the U.S," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252735, Southern Agricultural Economics Association.
    2. Catherine Paul & Richard Nehring & David Banker & Agapi Somwaru, 2004. "Scale Economies and Efficiency in U.S. Agriculture: Are Traditional Farms History?," Journal of Productivity Analysis, Springer, vol. 22(3), pages 185-205, November.
    3. Christian Growitsch & Tooraj Jamasb & Michael Pollitt, 2009. "Quality of service, efficiency and scale in network industries: an analysis of European electricity distribution," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2555-2570.
    4. Gian Paolo Barbetta & Gilberto Turati & Angelo M. Zago, 2007. "Behavioral differences between public and private not‐for‐profit hospitals in the Italian national health service," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 75-96, January.
    5. Kostas Kounetas & Kostas Tsekouras, 2007. "Measuring Scale Efficiency Change Using a Translog Distance Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 63-69, April.
    6. Daehoon Nahm & Ha Vu, 2013. "Measuring scale efficiency from a parametric hyperbolic distance function," Journal of Productivity Analysis, Springer, vol. 39(1), pages 83-88, February.
    7. Qushim, Berdikul & Gillespie, Jeffrey & McMillin, Kenneth, 2015. "Efficiency Analysis of Southeastern U.S. Meat Goat Production," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196818, Southern Agricultural Economics Association.
    8. Yu, Bingxin & Liao, Xiyuan & Shen, Hongfang, 2013. "Parametric decomposition of the malmquist index in an output-oriented distance function: Productivity in Chinese agriculture," IFPRI discussion papers 1244, International Food Policy Research Institute (IFPRI).
    9. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    10. Mellah, Thuraya & Ben Amor, Tawfik, 2016. "Performance of the Tunisian Water Utility: An input-distance function approach," Utilities Policy, Elsevier, vol. 38(C), pages 18-32.

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