Estimating Underlying Energy Demand Trends using UK Annual Data
AbstractEmploying the Structural Time Series Model (STSM) approach suggested by Harvey (1989, 1997), and based on annual data for the UK from 1967-2002, this paper reiterates the importance of using a stochastic rather than a linear deterministic trend formulation when estimating energy demand models, a practice originally established by Hunt et al. (2003a,b) using quarterly UK data. The findings confirm that important non-linear and stochastic trends are present as a result of technical change and other exogenous factors driving demand, and that a failure to account for these trends will lead to biased estimates of the long-run price and income elasticities. The study also establishes that, provided these effects are allowed for, the estimated long-run elasticities are robust to the different data frequencies used in the modelling.
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Bibliographic InfoPaper provided by Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey in its series Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) with number 108.
Length: 22 pages
Date of creation: Jun 2004
Date of revision:
Publication status: Published in Applied Economics Letters, 12(4), 2005, pp. 239-244. (Revised Version)
Energy Demand; Underlying Trends.;
Other versions of this item:
- John Dimitropoulos & Lester Hunt & Guy Judge, 2005. "Estimating underlying energy demand trends using UK annual data," Applied Economics Letters, Taylor & Francis Journals, vol. 12(4), pages 239-244.
- 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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"Underlying Trends and Seasonality in UK Energy Demands: A Sectorial Analysis,"
134, Portsmouth University - Department of Economics.
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