Arbeitspapier
The role of media for inflation forecast disagreement of households and professional forecasters
This paper investigates the effects of media coverage and macroeconomic conditions on inflation forecast disagreement of German households and professional forecasters. We adopt a Bayesian learning model in which media coverage of inflation affects forecast disagreement by influencing information sets as well as predictor choice. Our empirical results show that disagreement of households depends on the content of news stories (tone) but is unaffected by reporting intensity (volume) and by the heterogeneity of story content (information entropy). Disagreement of professionals does not depend on media coverage. With respect to the influence of macroeconomic variables we provide evidence that disagreement of households and professionals primarily depends on the current rate of inflation.
- Language
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Englisch
- Bibliographic citation
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Series: KOF Working Papers ; No. 223
- Classification
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Wirtschaft
Price Level; Inflation; Deflation
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- Subject
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forecast disagreement
inflation expectations
media coverage
Bayesian learning
Inflationserwartung
Medienverhalten
Privater Haushalt
Vergleich
Prognose
Sachverständige
Bayes-Statistik
Deutschland
- Event
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Geistige Schöpfung
- (who)
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Maag, Thomas
Lamla, Michael J.
- Event
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Veröffentlichung
- (who)
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ETH Zurich, KOF Swiss Economic Institute
- (where)
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Zurich
- (when)
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2009
- DOI
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doi:10.3929/ethz-a-005788384
- Handle
- Last update
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10.03.2025, 11:43 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
- Maag, Thomas
- Lamla, Michael J.
- ETH Zurich, KOF Swiss Economic Institute
Time of origin
- 2009