𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Interactions between large macro models and time series analysis

✍ Scribed by Clive W.J. Granger; Yongil Jeon


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
111 KB
Volume
8
Category
Article
ISSN
1076-9307

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Building large models, with little dynamics, was long considered to be an alternative to small dimensional time series models involving many lags. The advantages of one modelling methodology are compared to others; such as the size of the model, the use of economic theory, and simultaneity in specification. The question of how to evaluate the possible relative advantages of these alternatives is discussed. The conclusion is that in the future, time series models have to become larger, that is, involve more variables and that some lessons can be learnt from the construction of current large econometric models. Copyright Β© 2002 John Wiley & Sons, Ltd.


πŸ“œ SIMILAR VOLUMES


ARARMA models for time series analysis a
✍ Emanuel Parzen πŸ“‚ Article πŸ“… 1982 πŸ› John Wiley and Sons 🌐 English βš– 765 KB

## Abstract Methods of time series forecasting are proposed which can be applied automatically. However, they are not rote formulae, since they are based on a flexible philosophy which can provide several models for consideration. In addition it provides diverse diagnostics for qualitatively and qu

Latent class models for time series anal
✍ Suzanne Winsberg; Geert De Soete πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 158 KB πŸ‘ 2 views
ARIMA model building and the time series
✍ Paul Newbold πŸ“‚ Article πŸ“… 1983 πŸ› John Wiley and Sons 🌐 English βš– 1006 KB

This paper reviews the approach to forecasting based on the construction of ARIMA time series models. Recent developments in this area are surveyed, and the approach is related to other forecasting methodologies.