Forecasting industrial production using structural time series models
β Scribed by Gerhard Thury; Stephen F. Witt
- Book ID
- 114230959
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 722 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0305-0483
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract This paper presents a methodology for modelling and forecasting multivariate time series with linear restrictions using the constrained structural stateβspace framework. The model has natural applications to forecasting time series of macroeconomic/financial identities and accounts. The
This paper compares the structure of three models for estimating future growth in a time series. It is shown that a regression model gives minimum weight to the last observed growth and maximum weight to the observed growth in the middle of the sample period. A first-order integrated ARIMA model, or