Skip to main content
Log in

Basic facts on the coverage of the paycheck protection program

  • Original Article
  • Published:
Business Economics Aims and scope Submit manuscript

Abstract

This paper applies loan-level information from Paycheck Protection Program loans to analyze the coverage of this extraordinary lending program. Most loans were intended to be forgiven making them effectively grants. We show that loans went to a large share of small businesses across most industries in the US, especially to industries that were most negatively impacted by COVID-19 stay-at-home orders. We geocode the loans and then identify that 2021 loans were more concentrated in low- and moderate-income communities, along with census tracts where minority residents are a majority of the population. The growth of nonemployer loans and fintech lending in the program were key components of the broadened reach of the program.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Notes

  1. For a summary of the legislative history and implementation of the lending program, see the September 2021 GAO report at https://www.gao.gov/products/gao-21-601.

  2. https://www.sba.gov/funding-programs/loans/covid-19-relief-options/paycheck-protection-program/ppp-loan-forgiveness#section-header-2.

  3. See https://www.sba.gov/sites/sbagov/files/2022-10/2022.10.24_Weekly%20Forgiveness%20Report_Public.pdf for more information.

  4. https://www.congress.gov/116/plaws/publ136/PLAW-116publ136.pdf.

  5. The SUSB data are derived from the Census Bureau Business Register, which uses tax and other administrative records to track business entities with employees for the Census Bureau’s economic surveys. SUSB data exclude nonemployer firms, along with information on private households, railroads, agricultural production, and most government entities. The 2019 SUSB data files (https://www.census.gov/programs-surveys/susb/data/datasets.html) were released on April 1, 2022.

  6. Nonemployer data provide statistics obtained from business income tax records. The NES data (https://www.census.gov/programs-surveys/nonemployer-statistics/data/tables.html) we use were collected from 2018 and released on June 30, 2022.

  7. https://www.sba.gov/sites/sbagov/files/2021-06/PPP_Report_Public_210531-508.pdf.

  8. For example, the SBA (2021b) provided guidance for loan amounts for “self-employed individuals” who have employees (https://www.govinfo.gov/app/details/FR-2021-03-08/2021-04795).

  9. The SBA data use a variable named “processing method,” which refers to first- and second-draw loans in 2021.

  10. This follows the approach used in Schweitzer and Borawski (2021). The SUSB covers only part of the agricultural sector; so this section excludes SBA loans that were listed as going to agricultural firms.

  11. The specific amount in the PPP is unknowable, but the Department of Justice is pursuing cases (Office of Public Affairs 2021). (https://www.justice.gov/opa/pr/justice-department-takes-action-against-covid-19-fraud).

  12. We use the small business size regulation standards from January 14, 2021, which can be accessed at https://www.ecfr.gov/on/2021-01-14/title-13/chapter-I/part-121.

  13. These figures exclude the Management of Companies and Public Administration sectors, along with loans with no industry code. We also exclude agricultural nonemployers in this part of the analysis. Loans listed as going to this industry are hard to reconcile with the underlying census data.

  14. See more at https://www.govinfo.gov/app/details/FR-2020-04-20/2020-08257 (SBA, 2020).

  15. See the appendix for more information on the SBA’s and our geocoding results.

  16. We obtained the FFIEC data from https://www.ffiec.gov/hmcrpr/cra20tables1-5.pdf (Table 4.1).

  17. These results are from Borawski and Schweitzer (2021).

  18. Chernenko and Scharfstein (2022) use restaurant data from Yelp to identify minority-owned businesses that received PPP loans in Florida. Lester and Wilson (2023) use geocoded PPP loan data to access whether minority census tracts and places that received fewer mortgages were less likely to receive PPP loans. Similar to our results they find lower PPP loan counts and lending amounts for Black and Latinx communities in 2020 data, although conditions improve for Black-majority communities in 2021.

  19. The PPPLF data can be accessed at https://www.federalreserve.gov/monetarypolicy/ppplf.htm.

  20. “How Two Start-Ups Reaped Billions in Fees on Small Business Relief Loans,” October 2021. https://www.nytimes.com/2021/06/27/business/ppp-relief-loans-blueacorn-womply.html?smid=url-share

  21. See https://coronavirus-democrats-oversight.house.gov/sites/democrats.coronavirus.house.gov/files/2022.12.01%20How%20Fintechs%20Facilitated%20Fraud%20in%20the%20Paycheck%20Protection%20Program.pdf for more information.

  22. Capped loan amounts for 2020 and 2021 PPP loans can be found on https://home.treasury.gov/system/files/136/How-to-Calculate-Loan-Amounts.pdf and https://home.treasury.gov/system/files/136/PPP--How-to-Calculate-Maximum-Loan-Amounts-for-First-Draw-PPP-Loans-and-What-Documentation-to-Provide-By-Business-Type.pdf, respectively.

  23. We manually reverse geocode each of these randomly selected observations by entering the address into the FFIEC’s geocoder tool to obtain the census tract code, which can be accessed at https://geomap.ffiec.gov/ffiecgeomap/.

  24. https://www.federalreserve.gov/newsevents/pressreleases/files/monetary20210625a1.pdf

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mark Schweitzer.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schweitzer, M., Guo, A. Basic facts on the coverage of the paycheck protection program. Bus Econ 59, 10–30 (2024). https://doi.org/10.1057/s11369-023-00345-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/s11369-023-00345-z

Keywords

JEL Classification

Navigation