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The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data | NBER

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This NBER page lists Working Paper 27431, "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," by Raj Chetty, John N. Friedman, Michael Stepner and The Opportunity Insights Team. It gives an issue date of June 2020 and a revision date of April 2023. The abstract describes a public database tracking consumer spending, business revenues, job postings and employment rates by county, sector and income group, built from anonymized data from private companies. It states that high-wage workers experienced a "V-shaped" recession that lasted a few weeks, whereas low-wage workers experienced much larger, more persistent job losses. The page lists a published version in The Quarterly Journal of Economics, vol 139(2), pages 829-889.

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“The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data | NBER.” Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/the-economic-impacts-of-covid-19-evidence-from-a-new-public-database-b-dd0ada006c/, SHA-256 5d43c46e4ec384800f39b72eb526ad2deecedd6e95667ca248c19cc124293a32.

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The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data

Raj Chetty , John N. Friedman , Michael Stepner & The Opportunity Insights Team

Working Paper 27431

DOI 10.3386/w27431

Issue Date June 2020

Revision Date April 2023

We build a publicly available database that tracks economic activity in the U.S. at a granular level in real time using anonymized data from private companies. We report weekly statistics on consumer spending, business revenues, job postings, and employment rates disaggregated by county, sector, and income group. Using the publicly available data, we show how the COVID- 19 pandemic affected the economy by analyzing heterogeneity in its impacts across subgroups. High-income individuals reduced spending sharply in March 2020, particularly in sectors that require in-person interaction. This reduction in spending greatly reduced the revenues of small businesses in affluent, dense areas. Those businesses laid off many of their employees, leading to widespread job losses, especially among low-wage workers in such areas. High-wage workers experienced a “V-shaped” recession that lasted a few weeks, whereas low-wage workers experienced much larger, more persistent job losses. Even though consumer spending and job postings had recovered fully by December 2021, employment rates in low-wage jobs remained lower in areas that were initially hard hit, indicating that the job losses due to the demand shock led to a persistent reduction in labor supply. Building on this diagnostic analysis, we evaluate the impacts of fiscal stimulus policies designed to stem the downward spiral in economic activity. Cash stimulus payments led to sharp increases in spending early in the pandemic, but much smaller responses later in the pandemic, especially for high-income households. Real-time estimates of marginal propensities to consume provided better forecasts of the impacts of subsequent rounds of stimulus payments than historical estimates. Overall, our findings suggest that fiscal policies can stem secondary declines in consumer spending and job losses, but cannot restore full employment when the initial shock to consumer spending arises from health concerns. More broadly, our analysis demonstrates how public statistics constructed from private sector data can support many research and real-time policy analyses, providing a new tool for empirical macroeconomics.

- Copy Citation Raj Chetty, John N. Friedman, Michael Stepner, and The Opportunity Insights Team, "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," NBER Working Paper 27431 (2020), https://doi.org/10.3386/w27431. Download Citation

Non-Technical Summaries

Published Versions

Raj Chetty & John N Friedman & Michael Stepner & Hamidah Alatas & Camille Baker & Harvey Barnhard & Matt Bell & Gregory Bruich & Tina Chelidze & Lucas Chu & Westley Cineus & Sebi Devlin-Foltz & Michael Droste & Dhruv Gaur & Federico Gonzalez & Rayshauna Gray & Abigail Hiller & Matthew Jacob & Tyler Jacobson & Margaret Kallus & Fiona Kastel & Laura Kincaide & Caitlin Kupsc & Sarah LaBauve & Lucía Lamas & Maddie Marino & Kai Matheson & Jared Miller & Christian Mott & Kate Musen & Danny Onorato & Sarah Oppenheimer & Trina Ott & Lynn Overmann & Max Pienkny & Jeremiah Prince & Sebastian Puerta & Daniel Reuter & Peter Ruhm & Tom Rutter & Emanuel Schertz & Shannon Felton Spence & Krista Stapleford & Kamelia Stavreva & Ceci Steyn & James Stratton & Clare Suter & Elizabeth Thach & Nicolaj Thor & Amanda Wahlers & Kristen Watkins & Alanna Williams & David Williams & Chase Williamson & Shady Yassin & Ruby Zhang & Austin Zheng, 2024. " The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data, " The Quarterly Journal of Economics, vol 139(2), pages 829-889. citation courtesy of

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Topics

Macroeconomics

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