Indicators of uncertainty: a brief user’s guide
Luca Rossi ()
No 564, Questioni di Economia e Finanza (Occasional Papers) from Bank of Italy, Economic Research and International Relations Area
This work examines the benefits and risks of using available classes of uncertainty indexes for policy purposes, clustered in three broad categories: survey-based, model-based, and news-based. In both policy discussions and the academic literature news-based indexes are the ones that have recently gained the most attention. We argue that the reasons behind this are their intuitiveness, transparency and real-time characteristics. The main trouble with these indexes, as they are constructed today, is their noisiness. We then suggest that, for policy purposes, it would be better to disregard very high frequency movements in the series. Finally, we highlight that well-developed probabilistic surveys still represent a hard-to-beat benchmark when one is interested in uncertainty concerning specific variables as opposed to more abstract concepts such as Economic Policy Uncertainty.
Keywords: uncertainty; filtering; economic surveys; news (search for similar items in EconPapers)
JEL-codes: E60 H30 H68 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
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:bdi:opques:qef_564_20
Access Statistics for this paper
More papers in Questioni di Economia e Finanza (Occasional Papers) from Bank of Italy, Economic Research and International Relations Area Contact information at EDIRC.
Bibliographic data for series maintained by ().