Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/144346
Authors: 
Barhoumi, K.
Benk, S.
Cristadoro, R.
Den Reijer, A.
Jakaitiene, A.
Jelonek, P.
Rua, A.
Ruth, K.
Nieuwenhuyze, C. Van
Rünstler, G.
Year of Publication: 
2008
Series/Report no.: 
Working Paper Research 133
Abstract: 
This paper evaluates different models for the short-term forecasting of real GDP growth in ten selected European countries and the euro area as a whole. Purely quarterly models are compared with models designed to exploit early releases of monthly indicators for the nowcast and forecast of quarterly GDP growth. Amongst the latter, we consider small bridge equations and forecast equations in which the bridging between monthly and quarterly data is achieved through a regression on factors extracted from large monthly datasets. The forecasting exercise is performed in a simulated real-time context, which takes account of publication lags in the individual series. In general, we find that models that exploit monthly information outperform models that use purely quarterly data and, amongst the former, factor models perform best.
Subjects: 
Bridge models
Dynamic factor models
real-time data flow
JEL: 
E37
C53
Document Type: 
Working Paper

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