Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/25148
Authors: 
Brüggemann, Ralf
Lütkepohl, Helmut
Marcellino, Massimiliano
Year of Publication: 
2006
Series/Report no.: 
SFB 649 discussion paper 2006,065
Abstract: 
It is investigated whether Euro-area variables can be forecast better based on synthetic time series for the pre-Euro period or by using just data from Germany for the pre-Euro period. Our forecast comparison is based on quarterly data for the period 1970Q1 - 2003Q4 for ten macroeconomic variables. The years 2000 - 2003 are used as forecasting period. A range of different univariate forecasting methods is applied. Some of them are based on linear autoregressive models and we also use some nonlinear or time-varying coefficient models. It turns out that most variables which have a similar level for Germany and the Euro-area such as prices can be better predicted based on German data while aggregated European data are preferable for forecasting variables which need considerable adjustments in their levels when joining German and EMU data. These results suggest that for variables which have a similar level for Germany and the Euro-area it may be reasonable to consider the German pre-EMU data for studying economic problems in the Euro-area.
Subjects: 
Aggregation
forecasting
European monetary union
constructing EMU data
JEL: 
C22
C53
Document Type: 
Working Paper

Files in This Item:
File
Size
637.67 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.