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A SETAR model for Canadian GDP: non-linearities and forecast comparisons Author info | Abstract | Publisher info | Download info | Related research | Statistics Hui Feng
Jia Liu
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This paper investigates the forecasting performance of the non-linear time series SETAR model by using Canadian GDP data from 1965 to 2000. Besides the within-sample fit, the forecasting performance of a standard linear ARIMA model for the same sample has also been generated for comparative purposes. Two forecasting methods, one-step-ahead and multi-step-ahead forecasting, are compared for each type of model.
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Article provided by Taylor and Francis Journals in its journal Applied Economics .
Volume (Year): 35 (2003)
Issue (Month): 18 (December)
Pages: 1957-1964
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Handle: RePEc:taf:applec:v:35:y:2003:i:18:p:1957-1964Contact details of provider: Web page: http://www.tandf.co.uk/journals/routledge/00036846.html
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Clements, Michael P & Smith, Jeremy, 1999.
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