imprint:
Cambridge, Mass: National Bureau of Economic Research, 2020
Published in:NBER working paper series ; no. w26983
Extent:
1 Online-Ressource; illustrations (black and white)
Language:
English
DOI:
10.3386/w26983
Identifier:
Reproduction note:
Hardcopy version available to institutional subscribers
Origination:
Footnote:
System requirements: Adobe [Acrobat] Reader required for PDF files
Mode of access: World Wide Web
Description:
Assessing the economic impact of the COVID-19 pandemic is essential for policymakers, but challenging because the crisis has unfolded with extreme speed. We identify three indicators - stock market volatility, newspaper-based economic uncertainty, and subjective uncertainty in business expectation surveys - that provide real-time forward-looking uncertainty measures. We use these indicators to document and quantify the enormous increase in economic uncertainty in the past several weeks. We also illustrate how these forward-looking measures can be used to assess the macroeconomic impact of the COVID-19 crisis. Specifically, we feed COVID-induced first-moment and uncertainty shocks into an estimated model of disaster effects developed by Baker, Bloom and Terry (2020). Our illustrative exercise implies a year-on-year contraction in U.S. real GDP of nearly 11 percent as of 2020 Q4, with a 90 percent confidence interval extending to a nearly 20 percent contraction. The exercise says that about half of the forecasted output contraction reflects a negative effect of COVID-induced uncertainty