Abstract
This paper proposes a new method of forecasting euro area quarterly real GDP that uses area-wide indicators, which are derived by optimally pooling the information contained in national indicator series. Following the ideas of predictive modeling, we construct the area-wide indicators by utilizing weights that minimize the variance of the out-of-sample forecast errors of the area-wide target variable. In an out-of-sample forecast experiment we find that our optimal pooling of information approach outperforms alternative forecasting methods in terms of forecast accuracy.
Dokumententyp: | Paper |
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Fakultät: | Volkswirtschaft
Volkswirtschaft > Lehrstühle > Lehrstuhl für Finanzwissenschaft |
Themengebiete: | 300 Sozialwissenschaften > 330 Wirtschaft |
Sprache: | Englisch |
Dokumenten ID: | 19457 |
Datum der Veröffentlichung auf Open Access LMU: | 15. Apr. 2014, 08:51 |
Letzte Änderungen: | 29. Apr. 2016, 09:16 |