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Validating Allocation Functions in Energy Models: An Experimental Methodology

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  • V. Kerry Smith
  • Lawrence J. Hill

Abstract

In the late 1970s, the Energy Information Administration initiated a program calling for review and evaluation of its data and validation of energy models used in support of the policymaking process. One of the more controversial aspects of this program was the effort to validate the large-scale energy models developed under DOE auspices and, in some cases, still under development. As all participants in this process (i.e., modelers and evaluators) acknowledge, there is no absolute standard by which a model can be validated. By definition, a model is an approximation to some real-world process. It abstracts from the complexities of the process but is intended to capture essential dimensions of the forces governing outcomes of that process. Consequently, all evaluations of a model involve judgment. To illustrate the prospects for divergent yet individually sensible judgments of an energy model, consider a recent appraisal of the Regional Demand Forecasting Model (RDFOR).

Suggested Citation

  • V. Kerry Smith & Lawrence J. Hill, 1985. "Validating Allocation Functions in Energy Models: An Experimental Methodology," The Energy Journal, , vol. 6(4), pages 29-48, October.
    • Handle: RePEc:sae:enejou:v:6:y:1985:i:4:p:29-48
    DOI: 10.5547/ISSN0195-6574-EJ-Vol6-No4-4
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    References listed on IDEAS

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    1. Fuss, Melvyn A., 1977. "The demand for energy in Canadian manufacturing : An example of the estimation of production structures with many inputs," Journal of Econometrics, Elsevier, vol. 5(1), pages 89-116, January.
    2. Freedman, David, 1981. "Some Pitfalls in Large Econometric Models: A Case Study," The Journal of Business, University of Chicago Press, vol. 54(3), pages 479-500, July.
    3. Robert S. Pindyck, 1979. "The Structure of World Energy Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262661772, December.
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