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Measuring employment during COVID-19: challenges and opportunities
Measuring the economy during COVID-19 has created a set of hurdles and prospects for the U.S. statistical agencies, the private sector, and academia. This included how to deal with unprecedented movements in economic variables while ensuring data quality. At the same time, new entrants released data...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Palgrave Macmillan UK
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661802/ https://www.ncbi.nlm.nih.gov/pubmed/33204038 http://dx.doi.org/10.1057/s11369-020-00190-4 |
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author | Cohen, Gerald D. |
author_facet | Cohen, Gerald D. |
author_sort | Cohen, Gerald D. |
collection | PubMed |
description | Measuring the economy during COVID-19 has created a set of hurdles and prospects for the U.S. statistical agencies, the private sector, and academia. This included how to deal with unprecedented movements in economic variables while ensuring data quality. At the same time, new entrants released data that are sometimes at odds with gold standard releases. Given the multitude of data, this article focuses on both existing and new ways to track the employment statistics. The results leave more questions than answers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1057/s11369-020-00190-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7661802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76618022020-11-13 Measuring employment during COVID-19: challenges and opportunities Cohen, Gerald D. Bus Econ Original Article Measuring the economy during COVID-19 has created a set of hurdles and prospects for the U.S. statistical agencies, the private sector, and academia. This included how to deal with unprecedented movements in economic variables while ensuring data quality. At the same time, new entrants released data that are sometimes at odds with gold standard releases. Given the multitude of data, this article focuses on both existing and new ways to track the employment statistics. The results leave more questions than answers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1057/s11369-020-00190-4) contains supplementary material, which is available to authorized users. Palgrave Macmillan UK 2020-11-13 2020 /pmc/articles/PMC7661802/ /pubmed/33204038 http://dx.doi.org/10.1057/s11369-020-00190-4 Text en © National Association for Business Economics 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Cohen, Gerald D. Measuring employment during COVID-19: challenges and opportunities |
title | Measuring employment during COVID-19: challenges and opportunities |
title_full | Measuring employment during COVID-19: challenges and opportunities |
title_fullStr | Measuring employment during COVID-19: challenges and opportunities |
title_full_unstemmed | Measuring employment during COVID-19: challenges and opportunities |
title_short | Measuring employment during COVID-19: challenges and opportunities |
title_sort | measuring employment during covid-19: challenges and opportunities |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661802/ https://www.ncbi.nlm.nih.gov/pubmed/33204038 http://dx.doi.org/10.1057/s11369-020-00190-4 |
work_keys_str_mv | AT cohengeraldd measuringemploymentduringcovid19challengesandopportunities |