Author: Balashov, Vadim S.; Yan, Yuxing; Zhu, Xiaodi
Title: Are Less Developed Countries More Likely to Manipulate Data During Pandemics? Evidence from Newcomb-Benford Law Cord-id: avbcmvkd Document date: 2020_7_29
ID: avbcmvkd
Snippet: We use the Newcomb-Benford law to test if countries manipulate reported data during the COVID-19 pandemic. We find that democratic countries, countries with the higher Gross Domestic Product (GDP) per capita, higher healthcare expenditures, and better universal healthcare coverage are less likely to deviate from the Newcomb-Benford law. The relationship holds for the cumulative number of deaths and for the cumulative number of total cases but is more pronounced for the death toll. The findings a
Document: We use the Newcomb-Benford law to test if countries manipulate reported data during the COVID-19 pandemic. We find that democratic countries, countries with the higher Gross Domestic Product (GDP) per capita, higher healthcare expenditures, and better universal healthcare coverage are less likely to deviate from the Newcomb-Benford law. The relationship holds for the cumulative number of deaths and for the cumulative number of total cases but is more pronounced for the death toll. The findings are robust for the second digit tests, for a sub-sample of countries with regional data, and during the previous swine flu (H1N1) 2009-2010 pandemic.
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