Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 697

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

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

Open access
Chetty, Raj, Friedman, John, Stepner, Michael, Team, The Opportunity Insights·2020·National Bureau of Economic Research

Abstract

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3386/w27431

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Cited by

See all 697

Metadata

Authors
Chetty, R., Friedman, J., Stepner, M., & Team, T. O. I.
Venue
National Bureau of Economic Research
Published
2020-06
OpenAlex
W3113376803
Cited by
697
References
8
Type
report
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data. https://app.cochat.ai/papers/10.3386/w27431
The paper
Chetty, R., Friedman, J., Stepner, M., & Team, T. O. I. (2020). The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data. National Bureau of Economic Research. https://doi.org/10.3386/w27431

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.