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The performance of periodic autoregressive models in forecasting seasonal U.K. consumption

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Osborn, Denise R. and Smith, Jeremy (1989) The performance of periodic autoregressive models in forecasting seasonal U.K. consumption. Journal of Business & Economic Statistics , Volume 7 (Number 1). pp. 117-127. doi:10.1080/07350015.1989.10509719

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Official URL: http://dx.doi.org/10.1080/07350015.1989.10509719

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Abstract

The parameters of a periodic model are allowed to vary according to the time at which observations are made. Periodic autoregressive models are fitted to the quarterly values of seasonally unadjusted real nondurable consumers' expenditure for the United Kingdom and its components. The periodic model offers no improvement over conventional specifications if the aggregate is modeled directly. On the other hand, periodic models generally perform well for the components, which contain additional seasonal information. The choice between a periodic or nonperiodic specification is also shown to have an important influence on the resulting dynamic properties.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Economics
Journal or Publication Title: Journal of Business & Economic Statistics
Publisher: Routledge
ISSN: 0735-0015
Official Date: 1989
Dates:
DateEvent
1989Published
Volume: Volume 7
Number: Number 1
Page Range: pp. 117-127
DOI: 10.1080/07350015.1989.10509719
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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