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Methodological Advances in Energy Modelling: 1970-1990

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  • James M. Griffin

Abstract

Both the theory and practice of energy modelling have made phenomenal advances over the last 20 years. After providing a brief description of the state of energy modelling circa 1970, this paper identifies four major methodological advances profoundly affecting energy modelling. In the area of energy demand modelling, the translog and other generalized functional forms have proven readily adaptable to questions of interfuel substitution and energy/non-energy substitution. Additionally, discrete choice models, particularly the multinomial logit models, have provided a conceptually appealing framework within which to model appliance choice. The third advance has come in both the frequency and sophistication of use of panel data sets, which offer a much richer set of price and income variation. Finally, in the area of energy supply modelling, dynamic optimization models coupled with greater reliance on engineering information has lead to steady improvements in this area.

Suggested Citation

  • James M. Griffin, 1993. "Methodological Advances in Energy Modelling: 1970-1990," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 111-124.
  • Handle: RePEc:aen:journl:1993v14-01-a05
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    Cited by:

    1. Dees, Stephane & Karadeloglou, Pavlos & Kaufmann, Robert K. & Sanchez, Marcelo, 2007. "Modelling the world oil market: Assessment of a quarterly econometric model," Energy Policy, Elsevier, vol. 35(1), pages 178-191, January.
    2. Lucinda, Claudio Ribeiro & Anuatti Neto, Francisco, 2014. "Non-linear Demand and Price: An Empirical Analysis of the Brazilian Industrial Electricity Consumption," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 34(2), November.
    3. Mirjat, Nayyar Hussain & Uqaili, Mohammad Aslam & Harijan, Khanji & Valasai, Gordhan Das & Shaikh, Faheemullah & Waris, M., 2017. "A review of energy and power planning and policies of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 110-127.
    4. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2010. "Modelling energy demand of developing countries: Are the specific features adequately captured?," Energy Policy, Elsevier, vol. 38(4), pages 1979-1990, April.

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    JEL classification:

    • F0 - International Economics - - General

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