The Contribution of Structural Break Models to Forecasting Macroeconomic Series
This paper compares the forecasting performance of different models which have been proposed for forecasting in the presence of structural breaks. These models differ in their treatment of the break process, the model which applies in each regime and the out-of-sample probability of a break occurring. In an extensive empirical evaluation involving many important macroeconomic time series, we demonstrate the presence of structural breaks and their importance for forecasting in the vast majority of cases. We find no single forecasting model consistently works best in the presence of structural breaks. In many cases, the formal modeling of the break process is important in achieving good forecast performance. However, there are also many cases where simple, rolling window based forecasts perform well.
|Date of creation:||Jul 2011|
|Date of revision:|
|Contact details of provider:|| Postal: Via Patara, 3, 47921 Rimini (RN)|
Web page: http://www.rcfea.org
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rim:rimwps:38_11. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marco Savioli)
If references are entirely missing, you can add them using this form.