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Cited by 1,519

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COVID-Induced Economic Uncertainty

Open access
Baker, Scott, Bloom, Nicholas, Davis, Steven, Terry, Stephen·2020·National Bureau of Economic Research

Abstract

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.

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Metadata

Authors
Baker, S., Bloom, N., Davis, S., & Terry, S.
Venue
National Bureau of Economic Research
Published
2020-04
OpenAlex
W3015948226
Cited by
1,519
References
1
Type
report
Language
en
Open access
green

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CoChat. (2026). Citation check: COVID-Induced Economic Uncertainty. https://app.cochat.ai/papers/10.3386/w26983
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Baker, S., Bloom, N., Davis, S., & Terry, S. (2020). COVID-Induced Economic Uncertainty. National Bureau of Economic Research. https://doi.org/10.3386/w26983

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