Benford’s Law and COVID-19 reporting

C-Tier
Journal: Economics Letters
Year: 2020
Volume: 196
Issue: C

Authors (2)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:ecolet:v:196:y:2020:i:c:s0165176520303475
Journal Field
General
Author Count
2
Added to Database
2026-01-25