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Underlying Trends and Seasonality in UK Energy Demands: A Sectorial Analysis

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  • Hunt, L.C.
  • Judge, G.
  • Ninomiya, Y.

Abstract

This paper demonstrates the importance for energy demand modelling of allowing for trends and seasonal effects that are stochastic in form. Inherent underlying trends may be non-linear and reflect not only technical progress, which usually produces greater energy efficiency, but also other factors such as changes in consumer tastes and the economic structure that may be working in the opposite direction.

Suggested Citation

  • Hunt, L.C. & Judge, G. & Ninomiya, Y., 2000. "Underlying Trends and Seasonality in UK Energy Demands: A Sectorial Analysis," Papers 134, Portsmouth University - Department of Economics.
    • Handle: RePEc:fth:portec:134
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    References listed on IDEAS

    as
    1. Lester C Hunt & Guy Judge, 1996. "Evolving Seasonal Patterns In Uk Energy Series," World Scientific Book Chapters, in: G MacKerron & P Pearson (ed.), The Uk Energy Experience A Model or A Warning?, chapter 19, pages 259-270, World Scientific Publishing Co. Pte. Ltd..
    2. Jones, Clifton T, 1994. "Accounting for technical progress in aggregate energy demand," Energy Economics, Elsevier, vol. 16(4), pages 245-252, October.
    3. Claudio Morana, 2000. "Modelling Evolving Long‐run Relationships: An Application to the Italian Energy Market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(1), pages 72-93, February.
    4. Michael P. Clements & Reinhard Madlener, 1999. "Seasonality, Cointegration, and Forecasting UK Residential Energy Demand," Scottish Journal of Political Economy, Scottish Economic Society, vol. 46(2), pages 185-206, May.
    5. Welsch, Heinz, 1989. "The reliability of aggregate energy demand functions : An application of statistical specification error tests," Energy Economics, Elsevier, vol. 11(4), pages 285-292, October.
    6. Harvey, Andrew & Scott, Andrew, 1994. "Seasonality in Dynamic Regression Models," Economic Journal, Royal Economic Society, vol. 104(427), pages 1324-1345, November.
    7. Beenstock, Michael & Wilcocks, Patrick, 1983. "Energy and economic activity: a reply to Kouris," Energy Economics, Elsevier, vol. 5(3), pages 212-212, July.
    8. Inder, Brett, 1993. "Estimating long-run relationships in economics : A comparison of different approaches," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 53-68.
    9. Beenstock, M. & Willcocks, P., 1981. "Energy consumption and economic activity in industrialized countries : The dynamic aggregate time series relationship," Energy Economics, Elsevier, vol. 3(4), pages 225-232, October.
    10. Smith, Clare & Hall, Stephen & Mabey, Nick, 1995. "Econometric modelling of international carbon tax regimes," Energy Economics, Elsevier, vol. 17(2), pages 133-146, April.
    11. Kouris, George, 1983. "Fuel consumption for road transport in the USA," Energy Economics, Elsevier, vol. 5(2), pages 89-99, April.
    12. Harvey, A C, et al, 1986. "Stochastic Trends in Dynamic Regression Models: An Application to the Employment-Output Equations," Economic Journal, Royal Economic Society, vol. 96(384), pages 975-985, December.
    13. Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-389, October.
    14. Lynk, Edward L, 1989. "The Demand for Energy by U.K. Manufacturing Industry," The Manchester School of Economic & Social Studies, University of Manchester, vol. 57(1), pages 1-16, March.
    15. David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
    16. Haas, Reinhard & Schipper, Lee, 1998. "Residential energy demand in OECD-countries and the role of irreversible efficiency improvements," Energy Economics, Elsevier, vol. 20(4), pages 421-442, September.
    17. Kouris, George, 1983. "Energy consumption and economic activity in industrialized economies--a note," Energy Economics, Elsevier, vol. 5(3), pages 207-212, July.
    18. Harvey, Andrew, 1997. "Trends, Cycles and Autoregressions," Economic Journal, Royal Economic Society, vol. 107(440), pages 192-201, January.
    19. Unander, Fridtjof & Karbuz, Sohbet & Schipper, Lee & Khrushch, Marta & Ting, Michael, 1999. "Manufacturing energy use in OECD countries: decomposition of long-term trends," Energy Policy, Elsevier, vol. 27(13), pages 769-778, November.
    20. Fouquet, Roger & Pearson, Peter & Hawdon, David & Robinson, Colin & Stevens, Paul, 1997. "The future of UK final user energy demand," Energy Policy, Elsevier, vol. 25(2), pages 231-240, February.
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    More about this item

    Keywords

    ENERGY DEMAND ; EFFICIENCY ; INCOME;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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