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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., KOF Working Papers, 223

This paper assesses the probability method for quantifying EU consumer survey data on perceived and expected inflation. Based on micro-data from the Swedish consumer survey that asks for both qualitative and quantitative responses, I find that the theoretical assumptions of the method do not hold. In particular, estimated models of response behavior indicate that qualitative inflation expectations are not ordered. Nevertheless, the probability method generates series that are highly correlated with the mean of actual quantitative beliefs. For quantifying the cross-sectional dispersion of beliefs, however, an index of qualitative variation outperforms the probability method., KOF Working Papers, 230