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Climate Control Efficiency

Author

Listed:
  • G.D. Ferrier
  • J.G. Hirschberg

Abstract

This paper presents an application of Data Envelopment Analysis (DEA) to energy audit data by defining climate control systems as production processes. This method is proposed as an alternative to the use of regression based models which have been used in previous analyses of this type of data. The advantage of this method is the ability to compute relative efficiency measures for each observation in the data and to define these values without the assumption of a particular specification of the technology. Furthermore, this method can be used with a large number of inputs and outputs.

Suggested Citation

  • G.D. Ferrier & J.G. Hirschberg, 1992. "Climate Control Efficiency," The Energy Journal, , vol. 13(1), pages 37-54, January.
    • Handle: RePEc:sae:enejou:v:13:y:1992:i:1:p:37-54
    DOI: 10.5547/ISSN0195-6574-EJ-Vol13-No1-3
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    References listed on IDEAS

    as
    1. Janson, Marius A, 1988. "Combining Robust and Traditional Least Squares Methods: A Critical Evaluation: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(4), pages 450-451, October.
    2. repec:aen:journl:1983si-a07 is not listed on IDEAS
    3. Trimble, John & Hirst, Eric, 1983. "Energy Use in Institutional Buildings: Estimates from State Energy-Audit Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 337-347, October.
    Full references (including those not matched with items on IDEAS)

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