Introducing the euro-sting: Short-term indicator of euro area growth
Maximo Camacho and
Gabriel Perez-Quiros
Authors registered in the RePEc Author Service: Gabriel Perez Quiros
Journal of Applied Econometrics, 2010, vol. 25, issue 4, 663-694
Abstract:
We set out a model to compute short-term forecasts of the euro area GDP growth in real time. To allow for forecast evaluation, we construct a real-time dataset that changes for each vintage date and includes the exact information that was available at the time of each forecast. With this dataset we show that our simple factor model algorithm, which uses an easy-to-replicate methodology, is able to forecast the euro area GDP growth as well as professional forecasters who can combine the best forecasting tools with the possibility of incorporating their own judgement. In this context, we provide examples showing how data revisions and data availability affect point forecasts and forecast uncertainty. Copyright © 2010 John Wiley & Sons, Ltd.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (182)
Downloads: (external link)
http://hdl.handle.net/10.1002/jae.1174 Link to full text; subscription required (text/html)
http://qed.econ.queensu.ca:80/jae/2010-v25.4/ Supporting data files and programs (text/html)
Related works:
Working Paper: Introducing the Euro-STING: Short-Term Indicator of Euro Area Growth (2009) 
Working Paper: Introducing the EURO-STING: Short Term INdicator of Euro Area Growth (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:jae:japmet:v:25:y:2010:i:4:p:663-694
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
DOI: 10.1002/jae.1174
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().