A Revival of the Autoregressive Distributed Lag Model in Estimating Energy Demand Relationships
AbstractThe findings in the recent energy economic literature that energy economic variables are non-stationary, heve led to an implicit or explicit dismissal of the standard autoregressive distributed lag (ARDL) model in estimating energy demand relationships. However, Pesaran and Shin (1997) show that the ARDL model remains valid when the underlying variables are non-stationary, provided the variables are cointegrated. In this paper we use the ARDL approach to estimated a demand relationship for Danish residential energy consumption, and the ARDL estimates are compared to the estimates obtained using cointegration techniques and error-correction models (ECMs). It turns out that both quantitavely and qualitatively, the ARDL approach and the cointegration/ECM approach give very similar results.
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Bibliographic InfoPaper provided by Aarhus School of Business - Department of Economics in its series Papers with number 99-7.
Length: 15 pages
Date of creation: 1999
Date of revision:
Contact details of provider:
Postal: Department of Economics, Faculty of Business Administration. The Aarhus School of Business. Fuglesangs Alle 4. DK- 8210 Aarhus V - Denmark
Phone: +45 89 486396
Fax: +45 8615 5175
Web page: http://www.asb.dk/about/departments/nat.aspx
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ENERGY ; ECONOMIC MODELS ; ECONOMETRICS;
Other versions of this item:
- Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
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