Do seasonal unit roots matter for forecasting monthly industrial production?
We investigate the seasonal unit root properties of monthly industrial production series for 16 OECD countries within the context of a structural time series model. A basic version of this model assumes that there are 11 such seasonal unit roots. We propose to use model selection criteria (AIC and BIC) to examine if one or more of these are in fact stationary. We generally find that when these criteria indicate that a smaller number of seasonal unit roots can be assumed and hence that some seasonal roots are stationary, the corresponding model also gives more accurate one-step-ahead forecasts
|Keywords||information criteria, seasonal unit roots, structural time series model|
|Persistent URL||dx.doi.org/10.1002/for.901, hdl.handle.net/1765/2167|
|Journal||Journal of Forecasting|
Franses, Ph.H.B.F, & Kawasaki, Y. (2004). Do seasonal unit roots matter for forecasting monthly industrial production?. Journal of Forecasting, 77–88. doi:10.1002/for.901