EconPapers    
Economics at your fingertips  
 

Temporal disaggregation using multivariate structural time series models

Filippo Moauro and Giovanni Savio

Econometrics Journal, 2005, vol. 8, issue 2, 214-234

Abstract: In this paper, we provide a multivariate framework for temporal disaggregation of time series observed at a given frequency into higher frequency time series. The suggested method uses the seemingly unrelated time series equations model and it is estimated by the Kalman filter. The methodology is flexible enough to allow for almost any kind of temporal disaggregation problems of both raw and seasonally adjusted time series. Comparisons with other temporal disaggregation methods proposed in the literature are presented using a wide OECD data set. Copyright 2005 Royal Economic Society

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (48)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:ect:emjrnl:v:8:y:2005:i:2:p:214-234

Ordering information: This journal article can be ordered from
http://www.ectj.org

Access Statistics for this article

Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms

More articles in Econometrics Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().

 
Page updated 2025-04-08
Handle: RePEc:ect:emjrnl:v:8:y:2005:i:2:p:214-234