Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK
Giovanni Caggiano,
George Kapetanios and
Vincent Labhard ()
Journal of Forecasting, 2011, vol. 30, issue 8, 736-752
Abstract:
Factor-based forecasting has been at the forefront of developments in the macroeconometric forecasting literature in the recent past. Despite the flurry of activity in the area, a number of specification issues such as the choice of the number of factors in the forecasting regression, the benefits of combining factor‐based forecasts and the choice of the dataset from which to extract the factors remain partly unaddressed. This paper provides a comprehensive empirical investigation of these issues using data for the euro area, the six largest euro area countries, and the UK. Copyright (C) 2011 John Wiley & Sons, Ltd.
Keywords: factors; large datasets; forecast combinations (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (38)
Downloads: (external link)
http://hdl.handle.net/10.1002/for.1208
Related works:
Working Paper: Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK (2009) 
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:jof:jforec:v:30:y:2011:i:8:p:736-752
Access Statistics for this article
Journal of Forecasting is currently edited by Derek W. Bunn
More articles in Journal of Forecasting from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().