Why Do Pooled Forecasts Do Better Than Individual Forecasts Ex Post?
AbstractPooled forecasts frequently outperform individual forecasts of economic time series. This paper shows that the introduction of model uncertainty into the formation of expectations can account for the regularity. We conjecture that agents learn in a Bayesian way, using an optimally designed combination of forecasts to form expectations. When these expectations alter the ex-post realization of the data generating mechanism the pooled forecast may dominate the best individual device.
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Bibliographic InfoArticle provided by AccessEcon in its journal Economics Bulletin.
Volume (Year): 4 (2006)
Issue (Month): 36 ()
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- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
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- Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000.
"Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach,"
NBER Working Papers
7750, National Bureau of Economic Research, Inc.
- Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
- Ben S. Bernanke & Jean Boivin, 2001.
"Monetary Policy in a Data-Rich Environment,"
NBER Working Papers
8379, National Bureau of Economic Research, Inc.
- Hendry, David F & Michael P. Clements, 2002.
"Economic Forecasting: Some Lessons from Recent Research,"
Royal Economic Society Annual Conference 2002
99, Royal Economic Society.
- Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
- David Hendry & Michael P. Clements, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Series Working Papers 78, University of Oxford, Department of Economics.
- David Hendry & Michael P. Clements, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Papers 2002-W11, Economics Group, Nuffield College, University of Oxford.
- Hendry, David F. & Clements, Michael P., 2001. "Economic forecasting: some lessons from recent research," Working Paper Series 0082, European Central Bank.
- Timothy Cogley & Thomas J. Sargent, 2005.
"The conquest of US inflation: Learning and robustness to model uncertainty,"
Review of Economic Dynamics,
Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
- Cogley, Timothy & Sargent, Thomas J., 2005. "The conquest of U.S. inflation: learning and robustness to model uncertainty," Working Paper Series 0478, European Central Bank.
- William Brock & Steven Durlauf & Kenneth West, 2005.
"Model uncertainty and policy evaluation: some theory and empirics,"
Federal Reserve Bank of San Francisco.
- Brock, William A. & Durlauf, Steven N. & West, Kenneth D., 2007. "Model uncertainty and policy evaluation: Some theory and empirics," Journal of Econometrics, Elsevier, vol. 136(2), pages 629-664, February.
- William A. Brock & Steven N. Durlauf & Kenneth D. West, 2004. "Model Uncertainty and Policy Evaluation: Some Theory and Empirics," NBER Working Papers 10916, National Bureau of Economic Research, Inc.
- Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.
- Bray, Margaret M & Savin, Nathan E, 1986. "Rational Expectations Equilibria, Learning, and Model Specification," Econometrica, Econometric Society, vol. 54(5), pages 1129-60, September.
- Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
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