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Modelling Underlying Energy Demand Trends and Stochastic Seasonality: An Econometric Analysis of Transport Oil Demand in the UK and Japan

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Author Info
Lester C Hunt () (Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey)
Yasushi Ninomiya (Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey)

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Abstract

This paper demonstrates the importance of adequately modelling the Underlying Energy Demand Trend (UEDT) and seasonality when estimating transportation oil demand for the UK and Japan. The structural time series model is therefore employed to allow for a stochastic underlying trend and stochastic seasonals using quarterly data from the early 1970s, for both the UK and Japan. It is found that the stochastic seasonals are preferred to the conventional deterministic dummies and, more importantly, the UEDT is found to be highly nonlinear for both countries, with periods where it is both upward and downward sloping.

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File URL: http://www.seec.surrey.ac.uk/Research/SEEDS/SEEDS107.pdf
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Publisher Info
Paper provided by Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey in its series Surrey Energy Economics Centre (SEEC), Department of Economics Discussion Papers (SEEDS) with number 107.

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Length: 46 pages
Date of creation: Feb 2003
Date of revision:
Publication status: Published in The Energy Journal, 24(3), July 2003, pp. 63-96 (Revised Version with different title).
Handle: RePEc:sur:seedps:107

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Related research
Keywords: energy demand; stochastic trend model; unobservable underling trend; seasonality.;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply

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This page was last updated on 2009-12-6.


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