EconPapers    
Economics at your fingertips  
 

Time varying coefficient models and their forecasting performance

Gl Riddington

Omega, 1993, vol. 21, issue 5, 573-583

Abstract: The last decade has seen the spasmodic development of causal models with coefficients that vary over time and this paper aims to examine the effectiveness of the approach, with particular reference to ex-post forecasting performance. It discusses the empirical and theoretical reasons for models of this type, briefly identifies estimation methods, surveys published work and presents new empirical studies on whisky, tobacco, football and inflation. The paper proves conclusively that the approach significantly improves forecasting performance and concludes that it should be automatically considered by any management scientist undertaking the modelling of causal relationships over time.

Keywords: forecasting; modelling; methodology; econometrics; regression; time; series (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0305-0483(93)90026-H
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:21:y:1993:i:5:p:573-583

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Omega is currently edited by B. Lev

More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jomega:v:21:y:1993:i:5:p:573-583