Learning To Forecast And Cyclical Behavior Of Output And Inflation
AbstractThis paper considers a sticky price model with a cash-in-advance constraint where agents forecast inflation rates with the help of econometric models. Agents use least-squares learning to estimate two competing models of which one is consistent with rational expectations once learning is complete. When past performance governs the choice of forecast model, agents may prefer to use the inconsistent forecast model, which generates an equilibrium where forecasts are only constrained rational. Output and inflation then display persistence, inflation responds sluggishly to nominal disturbances, and the dynamic correlations of output and inflation match U.S. data surprisingly well. The rational expectations equilibrium instead has great difficulty in matching any of these features.
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Bibliographic InfoArticle provided by Cambridge University Press in its journal Macroeconomic Dynamics.
Volume (Year): 9 (2005)
Issue (Month): 01 (February)
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Other versions of this item:
- Adam, Klaus, 2003. "Learning to Forecast and Cyclical Behavior of Output and Inflation," CFS Working Paper Series 2003/01, Center for Financial Studies (CFS).
- Klaus Adam, 2003. "Learning to Forecast and Cyclical Behavior of Output and Inflation," Computing in Economics and Finance 2003 297, Society for Computational Economics.
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- 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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