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The Determinants of Non-COVID-19 Excess Deaths During the COVID-19 Pandemic: A Cross-country Panel Study

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  • Subhasish Dey
  • Jessie Davidson

Abstract

This paper examines the determinants of non-COVID excess deaths during the COVID pandemic between January and June 2020. These are the extra deaths occurring during the pandemic which are not directly attributable to COVID. While emerging literature examines the determinants of COVID deaths, few look at non-COVID excess deaths, though early estimates suggest they are enough to be seen as a pandemic in their own count. We investigate the impact of factors including COVID deaths and cases, lockdown stringency, economic support and search intensity for non-COVID conditions on excess deaths, using Fixed Effects and GMM estimations. We also use quantile regression to assess the differential impacts of the variables at different stages of the excess death distribution. First, we find that excess deaths are increasing and concave in COVID deaths, and that the rate of growth, as well as the level, of COVID deaths has a significant and positive impact. Second, we find some evidence that stringency of lockdown increases excess deaths by a maximum of 16 extra per-million population. Third, we find a reduction in search intensity for other conditions significantly increases excess deaths, implying that policymakers should ensure public health messaging for other conditions during a pandemic. JEL Classifications: I12, I18, I11

Suggested Citation

  • Subhasish Dey & Jessie Davidson, 2021. "The Determinants of Non-COVID-19 Excess Deaths During the COVID-19 Pandemic: A Cross-country Panel Study," Studies in Microeconomics, , vol. 9(2), pages 196-226, December.
  • Handle: RePEc:sae:miceco:v:9:y:2021:i:2:p:196-226
    DOI: 10.1177/23210222211046412
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    1. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
    2. Basco, Sergi & Domènech, Jordi & Rosés, Joan R., 2021. "The redistributive effects of pandemics: Evidence on the Spanish flu," World Development, Elsevier, vol. 141(C).
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    4. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    5. Klaus Desmet & Romain Wacziarg, 2020. "Understanding Spatial Variation in COVID-19 across the United States," NBER Working Papers 27329, National Bureau of Economic Research, Inc.
    6. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    7. repec:aei:rpaper:1008560098 is not listed on IDEAS
    8. McLaren John, 2021. "Racial Disparity in COVID-19 Deaths: Seeking Economic Roots with Census Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(3), pages 897-919, July.
    9. Hortaçsu, Ali & Liu, Jiarui & Schwieg, Timothy, 2021. "Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 106-129.
    10. Basco, Sergi & Domènech, Jordi & Rosés, Joan R., 2021. "The redistributive effects of pandemics: Evidence on the Spanish flu," World Development, Elsevier, vol. 141(C).
    11. Vandoros, Sotiris, 2020. "Excess mortality during the Covid-19 pandemic: Early evidence from England and Wales," Social Science & Medicine, Elsevier, vol. 258(C).
    12. Ali Hortaçsu & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19," Working Papers 2020-37, Becker Friedman Institute for Research In Economics.
    13. Tauchen, George, 1986. "Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained from Financial Market Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 397-416, October.
    14. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    15. Tauchen, George, 1986. "Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained from Financial Market Data: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 423-425, October.
    16. Rory Gibb & David W. Redding & Kai Qing Chin & Christl A. Donnelly & Tim M. Blackburn & Tim Newbold & Kate E. Jones, 2020. "Zoonotic host diversity increases in human-dominated ecosystems," Nature, Nature, vol. 584(7821), pages 398-402, August.
    17. Robert J. Barro & José F. Ursua & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Epidemic - Lessons from the "Spanish Flu" for the Coronavirus's Potential Effects on Mortality and Economic Activity," CESifo Working Paper Series 8166, CESifo.
    18. Vandoros, Sotiris & Avendano, Mauricio & Kawachi, Ichiro, 2019. "The association between economic uncertainty and suicide in the short-run," Social Science & Medicine, Elsevier, vol. 220(C), pages 403-410.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    20. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    COVID-19; pandemic; non-COVID-19-excess deaths; test; stringency;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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