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Scale economies in electricity distribution: a semiparametric analysis

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  • A. Yatchew

    (Department of Economics, University of Toronto, 150 St George Street, Toronto, Canada M5S 3G7)

Abstract

We estimate the costs of distributing electricity using data on municipal electric utilities in Ontario, Canada for the period 1993-5. The data reveal substantial evidence of increasing returns to scale with minimum efficient scale being achieved by firms with about 20,000 customers. Larger firms exhibit constant or decreasing returns. Utilities which deliver additional services (such as water|sewage), have significantly lower costs, indicating the presence of economies of scope. Our basic specifications comprise semiparametric variants of the translog cost function where output enters non-parametrically and remaining variables (including their interactions with output) are parametric. We rely upon non-parametric differencing techniques and extend a previous differencing test of equality of non-parametric regression functions to a panel data setting. Copyright © 2000 John Wiley & Sons, Ltd.Journal: Journal of Applied Econometrics

Suggested Citation

  • A. Yatchew, 2000. "Scale economies in electricity distribution: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(2), pages 187-210.
    • Handle: RePEc:jae:japmet:v:15:y:2000:i:2:p:187-210
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    File URL: http://qed.econ.queensu.ca:80/jae/2000-v15.2/
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    References listed on IDEAS

    as
    1. Nelson, Randy A., 1990. "The effects of competition on publicly-owned firms : Evidence from the municipal electric industry in the U.S," International Journal of Industrial Organization, Elsevier, vol. 8(1), pages 37-51.
    2. Yatchew, A., 1999. "An elementary nonparametric differencing test of equality of regression functions," Economics Letters, Elsevier, vol. 62(3), pages 271-278, March.
    3. Leland Gerson Neuberg, 1977. "Two Issues in the Municipal Ownership of Electric Power Distribution," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 303-323, Spring.
    4. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July.
    5. Dennis Cox & Eunmee Koh, 1989. "A smoothing spline based test of model adequacy in polynomial regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 41(2), pages 383-400, June.
    6. repec:bla:scandj:v:94:y:1992:i:0:p:s193-205 is not listed on IDEAS
    7. Baltagi, Badi H. & Hidalgo, Javier & Li, Qi, 1996. "A nonparametric test for poolability using panel data," Journal of Econometrics, Elsevier, vol. 75(2), pages 345-367, December.
    8. Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
    9. Kjell G. Salvanes & Sigve Tjøtta, 1998. "A Test for Natural Monopoly with Application to Norwegian Electricity Distribution," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(6), pages 669-685, December.
    10. Powell, James L., 1987. "Semiparametric Estimation Of Bivariate Latent Variable Models," SSRI Workshop Series 292689, University of Wisconsin-Madison, Social Systems Research Institute.
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