Estimating and forecasting the euro area monthly national accounts from a dynamic factor model
We estimate and forecast growth in euro area monthly GDP and its components from the dynamic factor model of Doz et al. (2006), which handles unbalanced data sets in an efficient way. We extend the model to integrate interpolation and forecasting with cross-equation accounting identities. A pseudo real-time forecasting exercise indicates that the model outperforms various benchmarks, such as quarterly time-series models and bridge equations, in forecasting growth in quarterly GDP and its components.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 2010 (2010)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: 2 rue Andre Pascal, 75775 Paris Cedex 16|
Phone: 33-(0)-1-45 24 82 00
Fax: 33-(0)-1-45 24 85 00
Web page: http://www.oecd.org
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:oec:stdkab:5kmmsxgf2qbs. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.