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Generalized Logit Model of Demand Systems for Energy Forecasting

  • Hong Sok Kim
  • Hoon Chang
  • Young Kyun Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)

Abstract

A number of different versions of the Generalized Logit (GL) model have been applied in the literature, and the primary objective of the paper is to determine which one is the best. Using annual data for energy demand in the USA at the state level, the final model selected is similar to a simple form that was originally proposed by Considine and Mount (1984). A second objective of the paper is to demonstrate that the estimated elasticities are sensitive to the units specified for prices, and to show how price scales should be estimated as part of the model. The GL models of demand systems for energy and other factors have been shown to work well in comparison with other popular models, such as the Almost Ideal Demand System and the TransLog model. The main reason is that the derived price elasticities are robust when expenditure shares are small.

Keywords

Price Elasticity Demand System Residential Sector Expenditure Share Ideal Demand System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Rothman, D.S., Hong, J.H., Mount, T.D.: Estimating Consumer Energy Demand Using International Data: Theoretical and Policy Implications. The Energy Journal 15(2), 67–88 (1994)Google Scholar
  2. 2.
    Deaton, A., Muellbauer, J.: An Almost Ideal Demand System. American Economic Review 70(3), 312–326 (1980)Google Scholar
  3. 3.
    Christensen, L.R., Jorgenson, D.W., Lau, L.: Transcendental Logarithmic Utility Functions. American Economic Review 65(3), 367–383 (1975)Google Scholar
  4. 4.
    Dumagan, J.C., Mount, T.D.: Global Properties of Well-Behaved Demand Systems: A Generalized Logit Model Specification. Economic Modelling 13, 235–256 (1996)CrossRefGoogle Scholar
  5. 5.
    Hong, J.-H.: The Performance of Alternative Flexible Functional Forms in Model Demand Systems: Theory and Application to Consumer Energy Demand. Ph.D. Dissertation, Agricultural, Resource and Managerial Economics, Cornell University (1994)Google Scholar
  6. 6.
    Considine, T., Mount, T.D.: The Use of Linear Logit Models for Dynamic Input Demand Systems. The Review of Economics and Statistics 66(3), 434–444 (1984)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hong Sok Kim
    • 1
  • Hoon Chang
    • 1
  • Young Kyun Lee
    • 2
  1. 1.Dept. of Urban Planning and Eng.Yonsei Univ.Korea
  2. 2.Director ITS TeamMinistry of Construction & TransportationKorea

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