Accuracy and Properties of German Business Cycle Forecasts
AbstractIn this paper the accuracy of a wide range of German business cycle forecasters is assessed for the period from 1995 to 2005. For this purpose, a data set is used comprising forecasts published on a monthly basis by Consensus Economics. The application of several descriptive as well as statistical measures reveals that the accuracy of the 2-years forecasts is low relative to a simple naïve forecast. This observation can mainly be explained by a systematic overestimation of the growth rates by the forecasters. Moreover, the lack of accuracy can also be explained partly by insufficient information efficiency as well as imitation behaviour. Finally, it is shown that notwithstanding the common errors which affected the accuracy of all forecasters mainly because of their systematic overestimation, they differ significantly in their forecast accuracy.
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Bibliographic InfoArticle provided by Duncker & Humblot, Berlin in its journal Applied Economics Quarterly.
Volume (Year): 54 (2008)
Issue (Month): 1 ()
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Web page: http://www.duncker-humblot.de
Other versions of this item:
- Osterloh, Steffen, 2006. "Accuracy and properties of German business cycle forecasts," ZEW Discussion Papers 06-87, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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- Gerit Vogt, 2010. "Zur Güte der ifo Dresden Konjunkturprognosen," ifo Dresden berichtet, Ifo Institute for Economic Research at the University of Munich, vol. 17(01), pages 28-32, 02.
- Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009.
"Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function,"
Macroeconomics and Finance Series
200905, Hamburg University, Department Wirtschaft und Politik.
- Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2010. "Evaluating German business cycle forecasts under an asymmetric loss function," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing,CIRET, vol. 2010(1), pages 1-18.
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Charles University Prague, Faculty of Social Sciences, vol. 61(4), pages 348-366, August.
- Filip Novotny & Marie Rakova, 2010. "Assessment of Consensus Forecasts Accuracy: The Czech National Bank Perspective," Working Papers 2010/14, Czech National Bank, Research Department.
- Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, Ifo Institute for Economic Research at the University of Munich, number 36, December.
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