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Title:The diversity of forecasts from macroeconomic models of the U.S. economy PDF Logo
Authors:Wieland, Volker
Wolters, Maik H.
Issue Date:2010
Series/Report no.:CFS Working Paper 2010/08
Abstract:This paper investigates the accuracy and heterogeneity of output growth and inflation forecasts during the current and the four preceding NBER-dated U.S. recessions. We generate forecasts from six different models of the U.S. economy and compare them to professional forecasts from the Federal Reserve's Greenbook and the Survey of Professional Forecasters (SPF). The model parameters and model forecasts are derived from historical data vintages so as to ensure comparability to historical forecasts by professionals. The mean model forecast comes surprisingly close to the mean SPF and Greenbook forecasts in terms of accuracy even though the models only make use of a small number of data series. Model forecasts compare particularly well to professional forecasts at a horizon of three to four quarters and during recoveries. The extent of forecast heterogeneity is similar for model and professional forecasts but varies substantially over time. Thus, forecast heterogeneity constitutes a potentially important source of economic fluctuations. While the particular reasons for diversity in professional forecasts are not observable, the diversity in model forecasts can be traced to different modeling assumptions, information sets and parameter estimates.
Subjects:Forecasting
Business Cycles
Heterogeneous Beliefs
Forecast Distribution
Model Uncertainty
Bayesian Estimation
JEL:C53
D84
E31
E32
E37
Persistent Identifier of the first edition:urn:nbn:de:hebis:30-78618
Document Type:Working Paper
Appears in Collections:CFS Working Paper Series, Universität Frankfurt a. M.

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