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Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK
Author(s) -
Caggiano Giovanni,
Kapetanios George,
Labhard Vincent
Publication year - 2011
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.1208
Subject(s) - econometrics , economics , factor (programming language) , computer science , programming language
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 © 2011 John Wiley & Sons, Ltd.