Inflation uncertainty revisited: A proposal for robust measurement
Christian Grimme (),
Steffen Henzel () and
Elisabeth Wieland ()
No 111, ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich
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, the idiosyncratic component of survey disagreement contains systematic measurement error during economic downturns. Finally, we study the Friedman-Ball hypothesis. Using the indicator, it turns out 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.
Keywords: Inflation uncertainty; inflation; survey data; stochastic volatility; GARCH; principal component analysis (search for similar items in EconPapers)
JEL-codes: C53 E31 E37 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed
Downloads: (external link)
Journal Article: Inflation uncertainty revisited: a proposal for robust measurement (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ces:ifowps:_111
Access Statistics for this paper
More papers in ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().