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.
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http://dx.doi.org/10.1016/j.econlet.2020.109573 | DOI Listing |
PLoS One
December 2024
Faculty of Management, Department of Economics and Finance, Comenius University Bratislava, Bratislava, Slovakia.
Purpose: The current research analyzes cosmetic earnings management practices in emerging and developed markets before and after the global financial crisis.
Design/methodology/approach: Using digital analysis, by applying Benford's Law the study analyzes the earnings adjustments that exceed a key reference point to determine whether earnings management anomaly exists or not? Based on a sample of 87165 firm-year observations of UK, US, Brazil, Russia, India, China and Pakistan listed corporations.
Findings: Findings show that the managers of emerging markets have more incentive to manipulate earnings than their counterparts from developed markets.
Health Econ Policy Law
September 2024
Department of Finance, Insurance and Real Estate, University of Memphis, Memphis, TN, USA.
We use Benford's law to examine the non-random elements of health care costs. We find that as health care expenditures increase, the conformity to the expected distribution of naturally occurring numbers worsens, indicating a tendency towards inefficient treatment. Government insurers follow Benford's law better than private insurers indicating more efficient treatment.
View Article and Find Full Text PDFSoc Sci Med
September 2024
College of Economics and Management, Huazhong Agricultural University, Wuhan, 430070, China. Electronic address:
This paper utilizes Benford's law, the distribution that the first significant digit of numbers in certain datasets should follow, to assess the accuracy of self-reported health expenditure data known for measurement errors. We provide both simulation and real data evidence supporting the validity assumption that genuine health expenditure data conform to Benford's law. We then conduct a Benford analysis of health expenditure variables from two widely utilized public datasets, the China Health and Nutrition Survey and the China Family Panel Studies.
View Article and Find Full Text PDFJ Health Monit
June 2024
Digital Global Public Health at the Hasso-Plattner-Institute (HPI), University of Potsdam, Potsdam, Germany.
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