Estimating and forecasting the euro area monthly national accounts from a dynamic factor model
Elena Angelini,
Marta Banbura and
Gerhard Rünstler ()
OECD Journal: Journal of Business Cycle Measurement and Analysis, 2010, vol. 2010, issue 1, 1-22
Abstract:
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.
Keywords: Dynamic Factor Models; Interpolation; Nowcasting (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (42)
Downloads: (external link)
https://doi.org/10.1787/jbcma-2010-5kmmsxgf2qbs (text/html)
Full text available to READ online. PDF download available to OECD iLibrary subscribers.
Related works:
Working Paper: Estimating and forecasting the euro area monthly national accounts from a dynamic factor model (2008) 
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:oec:stdkab:5kmmsxgf2qbs
Access Statistics for this article
More articles in OECD Journal: Journal of Business Cycle Measurement and Analysis from OECD Publishing, Centre for International Research on Economic Tendency Surveys Contact information at EDIRC.
Bibliographic data for series maintained by ().