Arbeitspapier

The diversity of forecasts from macroeconomic models of the U.S. economy

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.

Language
Englisch

Bibliographic citation
Series: CFS Working Paper ; No. 2010/08

Classification
Wirtschaft
Forecasting Models; Simulation Methods
Expectations; Speculations
Price Level; Inflation; Deflation
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Subject
Forecasting
Business Cycles
Heterogeneous Beliefs
Forecast Distribution
Model Uncertainty
Bayesian Estimation
Konjunkturprognose
Inflationserwartung
Prognoseverfahren
Sachverständige
Vergleich
Ökonometrisches Makromodell
Konjunktur
Schätzung
USA

Event
Geistige Schöpfung
(who)
Wieland, Volker
Wolters, Maik H.
Event
Veröffentlichung
(who)
Goethe University Frankfurt, Center for Financial Studies (CFS)
(where)
Frankfurt a. M.
(when)
2010

Handle
URN
urn:nbn:de:hebis:30-78618
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Wieland, Volker
  • Wolters, Maik H.
  • Goethe University Frankfurt, Center for Financial Studies (CFS)

Time of origin

  • 2010

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