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

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Author Info
Hunt, L.C.
Judge, G.
Ninomiya, Y.

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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.

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Publisher Info
Paper provided by Portsmouth University - Department of Economics in its series Papers with number 134.

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Length: 33 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:portec:134

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Postal: U.K.; University of Portsmouth; Department of Economics, Locksway Road, Milton, Southsea Hants PO4 8JF, UK
Phone: 44 (0)1705 844082
Fax: +44 (0)1705 844037
Web page: http://www.pbs.port.ac.uk/econ/index.html
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Related research
Keywords: ENERGY DEMAND ; EFFICIENCY ; INCOME;

Other versions of this item:

Find related papers by JEL classification:
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply

Cited by:
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  1. John Dimitropoulos & Lester C. Hunt & Guy Judge, 2005. "Estimating underlying energy demand trends using UK annual data," Applied Economics Letters, Taylor and Francis Journals, vol. 12(4), pages 239-244, March. [Downloadable!] (restricted)
    Other versions:
  2. Himanshu A. Amarawickrama & Lester C. Hunt, 2007. "Electricity Demand for Sri Lanka: A Time Series Analysis," Surrey Energy Economics Centre (SEEC), Department of Economics Discussion Papers (SEEDS) 118, Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey. [Downloadable!]
Statistics
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This page was last updated on 2009-12-16.

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