Stationarity, structural change and specification in a demand system: the case of energy
AbstractThe impact of structural change, stationarity of the data and economic theory on energy modelling and forecasting, is investigated for Germany and the UK, using two three-equation models which allow for the long- and short-run behaviour of the constituent variables. The models are specified, restricted and estimated to comply with the above conditions and they are then used to generate one step ahead and dynamic forecasts from each of the two models; one with structural change, and the other without. These forecasts and other aspects of the models are then used to choose the specification. In general structural change, stationarity of the data and economic theory are shown to have important implications for model specification and forecasting.
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 25 (2003)
Issue (Month): 1 (January)
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Web page: http://www.elsevier.com/locate/eneco
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- Eric Zivot & Donald W.K. Andrews, 1990.
"Further Evidence on the Great Crash, the Oil Price Shock, and the Unit Root Hypothesis,"
Cowles Foundation Discussion Papers
944, Cowles Foundation for Research in Economics, Yale University.
- Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
- Zivot, Eric & Andrews, Donald W K, 1992. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 251-70, July.
- Berkhout, Frans & Boehmer-Christiansen, Sonja & Skea, Jim, 1989. "Deposits and repositories : Electricity wastes in the UK and West Germany," Energy Policy, Elsevier, vol. 17(2), pages 109-115, April.
- Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
- Hylleberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988.
"Seasonal, Integration And Cointegration,"
6-88-2, Pennsylvania State - Department of Economics.
- Anderson, G J & Blundell, R W, 1982. "Estimation and Hypothesis Testing in Dynamic Singular Equation Systems," Econometrica, Econometric Society, vol. 50(6), pages 1559-71, November.
- Owens, S. & Hope, C. W., 1989. "Energy and environment : The challenge of integrating European policies," Energy Policy, Elsevier, vol. 17(2), pages 97-102, April.
- Perron, Pierre, 1989.
"The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis,"
Econometric Society, vol. 57(6), pages 1361-1401, November.
- Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
- Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-12, August.
- Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-57, Sept.-Nov.
- Robin L. Lumsdaine & David H. Papell, 1997.
"Multiple Trend Breaks And The Unit-Root Hypothesis,"
The Review of Economics and Statistics,
MIT Press, vol. 79(2), pages 212-218, May.
- Tom Doan, . "LPUNIT: RATS procedure to implement Lumsdaine-Papell unit root test with structural breaks," Statistical Software Components RTS00110, Boston College Department of Economics.
- Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
- Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
- Kumar Narayan, Paresh & Smyth, Russell, 2007.
"Are shocks to energy consumption permanent or temporary? Evidence from 182 countries,"
Elsevier, vol. 35(1), pages 333-341, January.
- Paresh Kumar Narayan & Russell Smyth, 2005. "Are Shocks To Energy Consumption Permanent Or Temporary? Evidence From 182 Countries," Monash Economics Working Papers 06/05, Monash University, Department of Economics.
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