2020
DOI: 10.3386/w27431
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The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data

Abstract: NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 632 publications
(635 citation statements)
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“…The result that weights matter in our data differs fromChetty et al (2020) who find that the private sector data samples they work with track relevant national benchmarks without reweighting.…”
contrasting
confidence: 87%
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“…The result that weights matter in our data differs fromChetty et al (2020) who find that the private sector data samples they work with track relevant national benchmarks without reweighting.…”
contrasting
confidence: 87%
“…The data allow us to produce a variety of metrics to measure high-frequency labor market changes 2 Our paper complements many recent papers which use a variety of different data sources to track labor market outcomes during the recent recession. A sampling of those papers includes: Bartik et al (2020a), Bartik et al (2020b) Barrero et al (2020), Bick and Blandin (2020), Brynjolfsson et al (2020), Chetty et al (2020), Dingel and Neiman (2020), Coibion et al (2020), Kahn et al (2020) and Kurmann et al (2020). As discussed above, our ADP data have advantages over the data used in many of these other papers in that they are nationally representative, have large sample sizes, track both employment and wages, and allow for the joint matching of individual workers to individual businesses.…”
Section: Section I Data and Methodologymentioning
confidence: 99%
“…We measure the magnitude of the economic shock by county using data from the Opportunity Insights Track the Recovery web site (Chetty, Friedman, Hendren and Stepner, 2020). We focus on two main measures.…”
Section: Payroll Protection Program and Datamentioning
confidence: 99%
“…Our first question is whether FinTech PPP loans flowed unconditionally to the areas that needed it most in both periods, and PPP lending is different for traditional banks versus online banks nonbank financial institutions. To measure which areas were most in need of PPP loans, we use county-level variables collected byChetty et al (2020), the increase in unemployment claims rate (between the months of March and April) and the average COVID-19 case rate. Our other variables are measured at the ZIP code level.…”
mentioning
confidence: 99%
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