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An evaluation of the Paycheck Protection Program using administrative payroll microdata()
The Paycheck Protection Program (PPP), a principal element of the fiscal stimulus enacted by Congress in response to the COVID-19 economic shock, was intended to assist small businesses to maintain employment and wages during the crisis, as well as cover other expenses. We use high-frequency adminis...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757653/ https://www.ncbi.nlm.nih.gov/pubmed/36568439 http://dx.doi.org/10.1016/j.jpubeco.2022.104664 |
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author | Autor, David Cho, David Crane, Leland D. Goldar, Mita Lutz, Byron Montes, Joshua Peterman, William B. Ratner, David Villar, Daniel Yildirmaz, Ahu |
author_facet | Autor, David Cho, David Crane, Leland D. Goldar, Mita Lutz, Byron Montes, Joshua Peterman, William B. Ratner, David Villar, Daniel Yildirmaz, Ahu |
author_sort | Autor, David |
collection | PubMed |
description | The Paycheck Protection Program (PPP), a principal element of the fiscal stimulus enacted by Congress in response to the COVID-19 economic shock, was intended to assist small businesses to maintain employment and wages during the crisis, as well as cover other expenses. We use high-frequency administrative payroll data from ADP—one of the world’s largest payroll processing firms—to estimate the causal effect of the PPP on the evolution of employment at PPP-eligible firms relative to PPP-ineligible firms, where eligibility is determined by industry-specific firm-size cutoffs. Our estimates indicate that the PPP boosted employment at eligible firms by between 2 percent to 5 percent at its peak effect around mid-May 2020. The boost to employment waned thereafter and ranged from no effect to a 3 percent boost at the end of 2020. Our estimates imply that employers retained an additional 3.6 million jobs as of mid-May 2020, and 1.4 million jobs at the end of 2020, as a consequence of PPP. The estimated cost per year of employment retained was [Formula: see text] to [Formula: see text] , equal to 3.4 to 5.2 times median earnings. |
format | Online Article Text |
id | pubmed-9757653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97576532022-12-19 An evaluation of the Paycheck Protection Program using administrative payroll microdata() Autor, David Cho, David Crane, Leland D. Goldar, Mita Lutz, Byron Montes, Joshua Peterman, William B. Ratner, David Villar, Daniel Yildirmaz, Ahu J Public Econ Article The Paycheck Protection Program (PPP), a principal element of the fiscal stimulus enacted by Congress in response to the COVID-19 economic shock, was intended to assist small businesses to maintain employment and wages during the crisis, as well as cover other expenses. We use high-frequency administrative payroll data from ADP—one of the world’s largest payroll processing firms—to estimate the causal effect of the PPP on the evolution of employment at PPP-eligible firms relative to PPP-ineligible firms, where eligibility is determined by industry-specific firm-size cutoffs. Our estimates indicate that the PPP boosted employment at eligible firms by between 2 percent to 5 percent at its peak effect around mid-May 2020. The boost to employment waned thereafter and ranged from no effect to a 3 percent boost at the end of 2020. Our estimates imply that employers retained an additional 3.6 million jobs as of mid-May 2020, and 1.4 million jobs at the end of 2020, as a consequence of PPP. The estimated cost per year of employment retained was [Formula: see text] to [Formula: see text] , equal to 3.4 to 5.2 times median earnings. Published by Elsevier B.V. 2022-07 2022-05-12 /pmc/articles/PMC9757653/ /pubmed/36568439 http://dx.doi.org/10.1016/j.jpubeco.2022.104664 Text en © 2022 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Autor, David Cho, David Crane, Leland D. Goldar, Mita Lutz, Byron Montes, Joshua Peterman, William B. Ratner, David Villar, Daniel Yildirmaz, Ahu An evaluation of the Paycheck Protection Program using administrative payroll microdata() |
title | An evaluation of the Paycheck Protection Program using administrative payroll microdata() |
title_full | An evaluation of the Paycheck Protection Program using administrative payroll microdata() |
title_fullStr | An evaluation of the Paycheck Protection Program using administrative payroll microdata() |
title_full_unstemmed | An evaluation of the Paycheck Protection Program using administrative payroll microdata() |
title_short | An evaluation of the Paycheck Protection Program using administrative payroll microdata() |
title_sort | evaluation of the paycheck protection program using administrative payroll microdata() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757653/ https://www.ncbi.nlm.nih.gov/pubmed/36568439 http://dx.doi.org/10.1016/j.jpubeco.2022.104664 |
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