The role of macroeconomic and policy uncertainty in density forecast dispersion

You Li and Anthony Tay

Journal of Macroeconomics, 2021, vol. 67, issue C

Abstract: We explore empirically the role of macroeconomic and policy uncertainty in explaining dispersion in professional forecasters’ density forecasts, and in explaining individual forecaster uncertainty (defined as the uncertainty expressed by individual forecasters in their density forecasts). We focus on US real output growth and inflation, using data from the Philadelphia Fed's quarterly Survey of Professional Forecasters (SPF), 1992-2016. We find that dispersion in individual density forecasts is related to macroeconomic uncertainty, especially in longer horizon forecasts, but not policy or forecaster uncertainty. There is also little evidence that forecaster uncertainty reflects macroeconomic or policy uncertainty.

Keywords: Surveys of professional forecasts; Density forecasts; Forecast dispersion; Macroeconomic uncertainty; Policy uncertainty (search for similar items in EconPapers)
JEL-codes: D80 E17 E27 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070420301907
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jmacro:v:67:y:2021:i:c:s0164070420301907

DOI: 10.1016/j.jmacro.2020.103266

Access Statistics for this article

Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos

More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().