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Benford’s Law and COVID-19 Reporting

Abstract:
Trust in the reported data of contagious diseases in real time is important for policy makers. Media and politicians have cast doubt on Chinese reported data on COVID-19 cases. We find Chinese confirmed infections match the distribution expected in Benford’s Law and are similar to that seen in the U.S. and Italy. We identify a more likely candidate for problems in the policy making process: Poor multilateral data sharing on testing and sampling.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.econlet.2020.109573

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Saïd Business School
Role:
Author
More by this author
Division:
SSD
Sub department:
Saïd Business School
Role:
Author


Publisher:
Elsevier
Journal:
Economics Letters More from this journal
Volume:
196
Article number:
109573
Publication date:
2020-09-14
Acceptance date:
2020-09-12
DOI:
ISSN:
0165-1765


Language:
English
Keywords:
Pubs id:
1132279
Local pid:
pubs:1132279
Deposit date:
2020-09-15

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