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.

Sprache
Englisch

Erschienen in
Series: KOF Working Papers ; No. 223

Klassifikation
Wirtschaft
Price Level; Inflation; Deflation
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Thema
forecast disagreement
inflation expectations
media coverage
Bayesian learning
Inflationserwartung
Medienverhalten
Privater Haushalt
Vergleich
Prognose
Sachverständige
Bayes-Statistik
Deutschland

Ereignis
Geistige Schöpfung
(wer)
Maag, Thomas
Lamla, Michael J.
Ereignis
Veröffentlichung
(wer)
ETH Zurich, KOF Swiss Economic Institute
(wo)
Zurich
(wann)
2009

DOI
doi:10.3929/ethz-a-005788384
Handle
Letzte Aktualisierung
10.03.2025, 11:43 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

  • Maag, Thomas
  • Lamla, Michael J.
  • ETH Zurich, KOF Swiss Economic Institute

Entstanden

  • 2009

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