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Stationarity, structural change and specification in a demand system: the case of energy

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  • McAvinchey, Ian D.
  • Yannopoulos, Andreas

Abstract

The 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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  • McAvinchey, Ian D. & Yannopoulos, Andreas, 2003. "Stationarity, structural change and specification in a demand system: the case of energy," Energy Economics, Elsevier, vol. 25(1), pages 65-92, January.
    • Handle: RePEc:eee:eneeco:v:25:y:2003:i:1:p:65-92
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    2. 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.
    3. Pai, Ping-Feng & Lin, Chih-Sheng, 2005. "A hybrid ARIMA and support vector machines model in stock price forecasting," Omega, Elsevier, vol. 33(6), pages 497-505, December.
    4. Kumar Narayan, Paresh & Smyth, Russell, 2007. "Are shocks to energy consumption permanent or temporary? Evidence from 182 countries," Energy Policy, Elsevier, vol. 35(1), pages 333-341, January.
    5. Erdogdu, Erkan, 2005. "Energy market reforms in Turkey: An economic analysis," MPRA Paper 26929, University Library of Munich, Germany.
    6. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    7. Jean-Thomas Bernard & Nadhem Idoudi & Lynda Khalaf & Clément Yélou, 2007. "Finite sample inference methods for dynamic energy demand models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1211-1226.

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