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Forecasting Seasonal UK Consumption Components Author info | Abstract | Publisher info | Download info | Related research | Statistics Clements, Michael
Smith, Jeremy
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Periodic models for seasonal data allow the parameters of the model to vary across the different seasons. This paper uses the components of UK consumption to see whether the periodic autoregressive (PAR) model yields more accurate forecasts than non-periodic models, such as the airline model of Box and Jenkins (1970), and autoregressive models that pre-test for (seasonal) unit roots. We analyze possible explanations for the relatively poor forecast performance of the periodic models that we find, notwithstanding the apparent support such models receive from the data-in-sample.
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Paper provided by University of Warwick, Department of Economics in its series The Warwick Economics Research Paper Series (TWERPS) with number
479.
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Length: 20 pages
Date of creation: 1997Date of revision:
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