Arbeitspapier
Inflation Forecasting with Inflation Sentiment Indicators
In this paper we argue that future inflation in an economy depends on the way people perceive current inflation, their inflation sentiment. We construct some simple measures of inflation sentiment which capture whether price acceleration is shared by many components of the CPI basket. In a comparative analysis of the forecasting power of the different inflation indicators for the US and Germany, we demonstrate that our inflation sentiment indicators improve forecast accuracy in comparison to a standard Phillips curve approach. Because the forecast performance is particularly good for longer horizons, we also compare our indicators to traditional measures of core inflation. Here, the sentiment indicators outperform the weighted median and show a similar forecasting power as a trimmed mean. Thus, they offer a convincing alternative to traditional core inflation measures.
- ISBN
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978-3-86788-087-9
- Language
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Englisch
- Bibliographic citation
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Series: Ruhr Economic Papers ; No. 80
- Classification
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Wirtschaft
Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
Price Level; Inflation; Deflation
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Forecasting Models; Simulation Methods
- Subject
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Inflation forecasting
monetary policy
Inflation
Prognoseverfahren
Inflationserwartung
Wahrnehmung
Schätzung
USA
Deutschland
- Event
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Geistige Schöpfung
- (who)
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Döhrn, Roland
Schmidt, Christoph M.
Zimmermann, Tobias
- Event
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Veröffentlichung
- (who)
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Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI)
- (where)
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Essen
- (when)
-
2008
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Döhrn, Roland
- Schmidt, Christoph M.
- Zimmermann, Tobias
- Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI)
Time of origin
- 2008