Information or Institution? On the Determinants of Forecast Accuracy
The accuracy of macroeconomic forecast depends on various factors, most importantly the mix of analytical methods used by the individual forecasters, the way that their personal experience is shaping their identification strategies, but also their efficiency in translating new information into revised forecasts. In this paper we use a broad sample of forecasts of German GDP and its components to analyze the impact of institutions and information on forecast accuracy. We find that forecast errors are a linear function of the forecast horizon, which serves as an indicator of the information available at the time a forecast is produced. This result is robust over a variety of different specifications. As better information seems to be the key to achieving better forecasts, approaches for acquiring reliable information early seem to be a good investment. By contrast, the institutional factors tend to be small and statistically insignificant. It has to remain open, whether this is the consequence of the efficiency-enhancing competition among German research institutions or rather the reflection of an abundance of forecast suppliers.
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Volume (Year): 231 (2011)
Issue (Month): 1 (February)
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- Dopke, Jorg & Fritsche, Ulrich, 2006. "When do forecasters disagree? An assessment of German growth and inflation forecast dispersion," International Journal of Forecasting, Elsevier, vol. 22(1), pages 125-135.
- Simeon Vosen & Torsten Schmidt, 2011.
"Forecasting private consumption: survey‐based indicators vs. Google trends,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
- Schmidt, Torsten & Vosen, Simeon, 2009. "Forecasting Private Consumption: Survey-based Indicators vs. Google Trends," Ruhr Economic Papers 155, Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI), Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- John P. Haisken-DeNew & Christoph M. Schmidt, .
"Inter-Industry and Inter-Region Differentials: Mechanics and Interpretation,"
9504, SELAPO Center for Human Resources.
- John P. Haisken-DeNew & Christoph M. Schmidt, 2000. "Interindustry and Interregion Differentials: Mechanics and Interpretation," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 516-521, August.
- Owen Lamont, 1995.
"Macroeconomics Forecasts and Microeconomic Forecasters,"
NBER Working Papers
5284, National Bureau of Economic Research, Inc.
- Lamont, Owen A., 2002. "Macroeconomic forecasts and microeconomic forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 265-280, July.
- Döhrn, Roland, 2006. "Improving Business Cycle Forecasts' Accuracy - What Can We Learn from Past Errors?," RWI Discussion Papers 51, Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI).
- Kajal Lahiri & Gultekin Isiklar, 2006.
"How Far Ahead Can We Forecast? Evidence From Cross-country Surveys,"
06-04, University at Albany, SUNY, Department of Economics.
- Isiklar, Gultekin & Lahiri, Kajal, 2007. "How far ahead can we forecast? Evidence from cross-country surveys," International Journal of Forecasting, Elsevier, vol. 23(2), pages 167-187.
- Kajal Lahiri & Gultekin Isiklar & Prakash Loungani, 2006.
"How quickly do forecasters incorporate news? Evidence from cross-country surveys,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 21(6), pages 703-725.
- Isiklar, Gultekin & Lahiri, Kajal & Loungani, Prakash, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," MPRA Paper 22065, University Library of Munich, Germany.
- Jörg Döpke & Ulrich Fritsche, 2006. "Growth and inflation forecasts for Germany a panel-based assessment of accuracy and efficiency," Empirical Economics, Springer, vol. 31(3), pages 777-798, September.
- Klinger, Sabine & Heilemann, Ullrich, 2005. "Zu wenig Wettbewerb? Zu Stand und Entwicklung der Genauigkeit makroökonomischer Prognosen," Technical Reports 2005,16, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methoden der Konjunkturprognose," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, 02.
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