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Benford’s Law and COVID-19 reporting

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  • Koch, Christoffer
  • Okamura, Ken

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.

Suggested Citation

  • Koch, Christoffer & Okamura, Ken, 2020. "Benford’s Law and COVID-19 reporting," Economics Letters, Elsevier, vol. 196(C).
  • Handle: RePEc:eee:ecolet:v:196:y:2020:i:c:s0165176520303475
    DOI: 10.1016/j.econlet.2020.109573
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    References listed on IDEAS

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    1. Bernhard Rauch & Max Göttsche & Gernot Brähler & Stefan Engel, 2011. "Fact and Fiction in EU‐Governmental Economic Data," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 243-255, August.
    2. Fernando Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem forCOVID-19 Lockdown," EIEF Working Papers Series 2005, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2020.
    3. Mr. Gonzalo C Pastor Campos & Mr. Jesus R Gonzalez-Garcia, 2009. "Benford’s Law and Macroeconomic Data Quality," IMF Working Papers 2009/010, International Monetary Fund.
    4. Andreas Diekmann, 2007. "Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(3), pages 321-329.
    5. Tomasz Kamil Michalski & Guillaume Stoltz, 2010. "Do countries falsify economic date strategically? Some evidence that they do," Working Papers hal-00540794, HAL.
    6. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    7. Tomasz Michalski & Gilles Stoltz, 2013. "Do Countries Falsify Economic Data Strategically? Some Evidence That They Might," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 591-616, May.
    8. Martin S. Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2020. "The Macroeconomics of Epidemics," NBER Working Papers 26882, National Bureau of Economic Research, Inc.
    9. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    10. Nye John & Moul Charles, 2007. "The Political Economy of Numbers: On the Application of Benford's Law to International Macroeconomic Statistics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-14, July.
    11. Lyu, Changjiang & Wang, Kemin & Zhang, Frank & Zhang, Xin, 2018. "GDP management to meet or beat growth targets," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 318-338.
    12. Andrew Atkeson, 2020. "What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," NBER Working Papers 26867, National Bureau of Economic Research, Inc.
    13. Dhaval M. Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia, 2020. "When Do Shelter-in-Place Orders Fight COVID-19 Best? Policy Heterogeneity Across States and Adoption Time," NBER Working Papers 27091, National Bureau of Economic Research, Inc.
    14. Callum J. Jones & Thomas Philippon & Venky Venkateswaran, 2020. "Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home," NBER Working Papers 26984, National Bureau of Economic Research, Inc.
    15. Fernando Alvarez & David Argente, 2020. "A Simple Planning Problem for COVID-19 Lockdown," Working Papers 2020-34, Becker Friedman Institute for Research In Economics.
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    More about this item

    Keywords

    Corona COVID-19; Statistical reporting; Government accountability; World Health Organization;
    All these keywords.

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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