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The Role of Media for Inflation Forecast Disagreement of Households and Professionals Author info | Abstract | Publisher info | Download info | Related research | Statistics Thomas Maag () (KOF Swiss Economic Institute, ETH Zurich, Switzerland )
Michael J. Lamla () (KOF Swiss Economic Institute, ETH Zurich, Switzerland )
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This paper investigates the effects of media coverage and macroeconomic con- ditions on inflation forecast disagreement of German households and professional forecasters. We adopt a Bayesian learning model in which media coverage of infla- tion 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 pro- fessionals 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.
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Paper provided by KOF Swiss Economic Institute, ETH Zurich in its series KOF Working papers with number
09-223.
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Length: 38 pages
Date of creation: Apr 2009Date of revision:
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Keywords: forecast disagreement ; inflation expectations ; media coverage ; Bayesian learning ; Find related papers by JEL classification: E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
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