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Do seasonal unit roots matter for forecasting monthly industrial production?
Author(s) -
Kawasaki Yoshinori,
Franses Philip Hans
Publication year - 2004
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.901
Subject(s) - context (archaeology) , unit (ring theory) , econometrics , unit root , industrial production , seasonal adjustment , production (economics) , series (stratigraphy) , model selection , selection (genetic algorithm) , seasonality , environmental science , mathematics , economics , statistics , computer science , geography , biology , artificial intelligence , mathematical analysis , paleontology , mathematics education , archaeology , variable (mathematics) , keynesian economics , macroeconomics
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. Copyright © 2004 John Wiley & Sons, Ltd.