Arbeitspapier

Learning to Forecast and Cyclical Behavior of Output and Inflation

This 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 inefficient. While average output and inflation result the same as under rational expectations, higher moments differ substantially: output and inflation show persistence, inflation responds sluggishly to nominal disturbances, and the dynamic correlations of output and inflation match U.S. data surprisingly well.

Sprache
Englisch

Erschienen in
Series: CFS Working Paper ; No. 2003/01

Klassifikation
Wirtschaft
Price Level; Inflation; Deflation
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Thema
Learning
Business Cycles
Rational Expectations
Inefficient Forecasts
Output and Inflation Persistence

Ereignis
Geistige Schöpfung
(wer)
Adam, Klaus
Ereignis
Veröffentlichung
(wer)
Goethe University Frankfurt, Center for Financial Studies (CFS)
(wo)
Frankfurt a. M.
(wann)
2003

Handle
URN
urn:nbn:de:hebis:30-10071
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Adam, Klaus
  • Goethe University Frankfurt, Center for Financial Studies (CFS)

Entstanden

  • 2003

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