Inflation uncertainty revisited: a proposal for robust measurement
Christian Grimme (),
Steffen Henzel () and
Elisabeth Wieland ()
Empirical Economics, 2014, vol. 47, issue 4, 1497-1523
Any measure of unobserved inflation uncertainty relies on specific assumptions which are most likely not fulfilled completely. This calls into question whether an individual measure delivers a reliable signal. To reduce idiosyncratic measurement error, we propose using common information contained in different measures derived from survey data, a variety of forecast models, and volatility models. We show that all measures are driven by a common component, which constitutes an indicator for inflation uncertainty. Moreover, our results suggest that using only one individual disagreement measure may be misleading, particularly during turbulent times. Finally, we study the Friedman–Ball hypothesis. Using the indicator, we show that higher inflation is followed by higher uncertainty. By contrast, we obtain contradictory results for the individual measures. We also document that, after an inflationary shock, uncertainty decreases in the first two months, which is traceable to the energy component in CPI inflation. Copyright Springer-Verlag Berlin Heidelberg 2014
Keywords: Inflation uncertainty; Inflation; Survey data; Stochastic volatility; GARCH; Principal component analysis; C53; E31; E37 (search for similar items in EconPapers)
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Working Paper: Inflation uncertainty revisited: A proposal for robust measurement (2011)
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