Arbeitspapier

The bias and efficiency of the ECB inflation projections: A state dependent analysis

We test for bias and efficiency of the ECB inflation forecasts using a confidential dataset of ECB macroeconomic quarterly projections. We investigate whether the properties of the forecasts depend on the level of inflation, by distinguishing whether the inflation observed by the ECB at the time of forecasting is above or below the target. The forecasts are unbiased and efficient on average, however there is evidence of state dependence. In particular, the ECB tends to overpredict (underpredict) inflation at intermediate forecast horizons when inflation is below (above) target. The magnitude of the bias is larger when inflation is above the target. These results hold even after accounting for errors in the external assumptions. We also find evidence of inefficiency, in the form of underreaction to news, but only when inflation is above the target. Our findings bear important implications for the ECB forecasting process and ultimately for its communication strategy.

ISBN
978-82-8379-189-1
Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 1/2021

Klassifikation
Wirtschaft
Hypothesis Testing: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Forecasting Models; Simulation Methods
Price Level; Inflation; Deflation
Monetary Policy
Thema
Forecast Evaluation
Forecast Efficiency
Inflation Forecasts
Central Bank Communication

Ereignis
Geistige Schöpfung
(wer)
Granziera, Eleonora
Jalasjoki, Pirkka
Paloviita, Maritta
Ereignis
Veröffentlichung
(wer)
Norges Bank
(wo)
Oslo
(wann)
2021

Handle
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

  • Granziera, Eleonora
  • Jalasjoki, Pirkka
  • Paloviita, Maritta
  • Norges Bank

Entstanden

  • 2021

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