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Forecasting Seasonal UK Consumption Components Author info | Abstract | Publisher info | Download info | Related research | Statistics Clements, M.P.
Smith, J.
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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 the 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
487.
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Length: 31 pages
Date of creation: 1997Date of revision:
Handle: RePEc:wrk:warwec:487Contact details of provider: Postal: CV4 7AL COVENTRY Phone: +44 (0) 2476 523202 Fax: +44 (0) 2476 523032 Web page: http://www2.warwick.ac.uk/fac/soc/economics/ More information through EDIRC
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Keywords: SEASONAL FLUCTUATIONS ; Other versions of this item:
Find related papers by JEL classification: C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
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