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Data misreporting during the COVID19 crisis: The role of political institutions
We use Benford’s law of first digits to determine whether there is evidence of data misreporting in the total COVID19 reported cases across countries. We try to model the differences in the Mean Absolute Deviation of actual data from those predicted by Benford’s law to indicate the factors that lead...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820020/ https://www.ncbi.nlm.nih.gov/pubmed/35153346 http://dx.doi.org/10.1016/j.econlet.2022.110348 |
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author | Adam, Antonis Tsarsitalidou, Sofia |
author_facet | Adam, Antonis Tsarsitalidou, Sofia |
author_sort | Adam, Antonis |
collection | PubMed |
description | We use Benford’s law of first digits to determine whether there is evidence of data misreporting in the total COVID19 reported cases across countries. We try to model the differences in the Mean Absolute Deviation of actual data from those predicted by Benford’s law to indicate the factors that lead to data misreporting using regression analysis. Using the Instrumental Variable model of Lewbel (2012) and Settler Mortality as an external instrument for democracy, we show that autocratic countries are more likely to misreport the COVID19 cases. |
format | Online Article Text |
id | pubmed-8820020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88200202022-02-07 Data misreporting during the COVID19 crisis: The role of political institutions Adam, Antonis Tsarsitalidou, Sofia Econ Lett Article We use Benford’s law of first digits to determine whether there is evidence of data misreporting in the total COVID19 reported cases across countries. We try to model the differences in the Mean Absolute Deviation of actual data from those predicted by Benford’s law to indicate the factors that lead to data misreporting using regression analysis. Using the Instrumental Variable model of Lewbel (2012) and Settler Mortality as an external instrument for democracy, we show that autocratic countries are more likely to misreport the COVID19 cases. Elsevier B.V. 2022-04 2022-02-07 /pmc/articles/PMC8820020/ /pubmed/35153346 http://dx.doi.org/10.1016/j.econlet.2022.110348 Text en © 2022 Elsevier B.V. All rights reserved. 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 Adam, Antonis Tsarsitalidou, Sofia Data misreporting during the COVID19 crisis: The role of political institutions |
title | Data misreporting during the COVID19 crisis: The role of political institutions |
title_full | Data misreporting during the COVID19 crisis: The role of political institutions |
title_fullStr | Data misreporting during the COVID19 crisis: The role of political institutions |
title_full_unstemmed | Data misreporting during the COVID19 crisis: The role of political institutions |
title_short | Data misreporting during the COVID19 crisis: The role of political institutions |
title_sort | data misreporting during the covid19 crisis: the role of political institutions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820020/ https://www.ncbi.nlm.nih.gov/pubmed/35153346 http://dx.doi.org/10.1016/j.econlet.2022.110348 |
work_keys_str_mv | AT adamantonis datamisreportingduringthecovid19crisistheroleofpoliticalinstitutions AT tsarsitalidousofia datamisreportingduringthecovid19crisistheroleofpoliticalinstitutions |