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The Measurement Of Efficiency Where There Are Multiple Outputs

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  • John L. Whiteman
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    Abstract

    This paper is motivated by the empirical observation that in many studies the elasticity of output with respect to labour is often negative and/or insignificant. The present study applies multiple output models to estimate the technical efficiency of enterprises in the international electricity, gas and telecom-munications industries. The results support the contention that single output production models may yield misleading results in respect of the elasticities of inputs such as labour. The results also suggest that relatively simple DEA and ordinary least squares models may be preferred to more complex stochastic frontier models in estimating the technical efficiency of enterprises.

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    File URL: http://www.copsmodels.com/ftp/workpapr/g-134.pdf
    File Function: Initial version, 1999-11
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    File URL: http://www.copsmodels.com/elecpapr/g-134.htm
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    Bibliographic Info

    Paper provided by Victoria University, Centre of Policy Studies/IMPACT Centre in its series Centre of Policy Studies/IMPACT Centre Working Papers with number g-134.

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    Date of creation: Nov 1999
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    Handle: RePEc:cop:wpaper:g-134

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    Related research

    Keywords: multiple output; data envelopment analysis; stochastic production frontier; distance function; ray frontier; technical efficiency;

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    1. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    2. John Quiggin, 1997. "Estimating the Benefits of Hilmer and Related Reforms," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 30(3), pages 256-272.
    3. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    4. John Whiteman, 1999. "The Potential Benefits of Hilmer and Related Reforms: Electricity Supply," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 32(1), pages 17-30.
    5. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Löthgren, Mickael, 1997. "A Multiple Output Stochastic Ray Frontier Production Model," Working Paper Series in Economics and Finance 158, Stockholm School of Economics.
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