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Business exit during the COVID-19 pandemic: Non-traditional measures in historical context()
Lags in official data releases have forced economists and policymakers to leverage “alternative” or “non-traditional” data to measure business exit resulting from the COVID-19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit within...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wayne State University Press]
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938302/ https://www.ncbi.nlm.nih.gov/pubmed/35342211 http://dx.doi.org/10.1016/j.jmacro.2022.103419 |
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author | Crane, Leland D. Decker, Ryan A. Flaaen, Aaron Hamins-Puertolas, Adrian Kurz, Christopher |
author_facet | Crane, Leland D. Decker, Ryan A. Flaaen, Aaron Hamins-Puertolas, Adrian Kurz, Christopher |
author_sort | Crane, Leland D. |
collection | PubMed |
description | Lags in official data releases have forced economists and policymakers to leverage “alternative” or “non-traditional” data to measure business exit resulting from the COVID-19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit within historical context. For the U.S., business exit is fairly common, with about 7.5 percent of firms exiting annually in recent years. The high level of exit is driven by very small firms and establishments. We then explore a range of alternative measures of business exit, including novel measures based on paycheck issuance and phone-tracking data, which indicate exit was elevated in certain sectors during the first year of the pandemic. That said, we find many industries have likely seen lower-than-usual exit rates, and exiting businesses do not appear to represent a large share of U.S. employment. As a result, exit appears lower than widespread expectations from early in the pandemic. |
format | Online Article Text |
id | pubmed-8938302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wayne State University Press] |
record_format | MEDLINE/PubMed |
spelling | pubmed-89383022022-03-22 Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() Crane, Leland D. Decker, Ryan A. Flaaen, Aaron Hamins-Puertolas, Adrian Kurz, Christopher J Macroecon Article Lags in official data releases have forced economists and policymakers to leverage “alternative” or “non-traditional” data to measure business exit resulting from the COVID-19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit within historical context. For the U.S., business exit is fairly common, with about 7.5 percent of firms exiting annually in recent years. The high level of exit is driven by very small firms and establishments. We then explore a range of alternative measures of business exit, including novel measures based on paycheck issuance and phone-tracking data, which indicate exit was elevated in certain sectors during the first year of the pandemic. That said, we find many industries have likely seen lower-than-usual exit rates, and exiting businesses do not appear to represent a large share of U.S. employment. As a result, exit appears lower than widespread expectations from early in the pandemic. Wayne State University Press] 2022-06 2022-03-22 /pmc/articles/PMC8938302/ /pubmed/35342211 http://dx.doi.org/10.1016/j.jmacro.2022.103419 Text en 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 Crane, Leland D. Decker, Ryan A. Flaaen, Aaron Hamins-Puertolas, Adrian Kurz, Christopher Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() |
title | Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() |
title_full | Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() |
title_fullStr | Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() |
title_full_unstemmed | Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() |
title_short | Business exit during the COVID-19 pandemic: Non-traditional measures in historical context() |
title_sort | business exit during the covid-19 pandemic: non-traditional measures in historical context() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938302/ https://www.ncbi.nlm.nih.gov/pubmed/35342211 http://dx.doi.org/10.1016/j.jmacro.2022.103419 |
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