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International Evidence on Vaccines and the Mortality to Infections Ratio in the Pre-Omicron Era

Author

Listed:
  • Joshua Aizenman
  • Alex Cukierman
  • Yothin Jinjarak
  • Weining Xin

Abstract

Prior to the appearance of the Omicron variant, observations on countries like the UK that have accumulated a large fraction of inoculated individuals suggest that, although initially, vaccines have little effect on new infections, they strongly reduce the share of mortality out of a given pool of infections. This paper examines the extent to which this phenomenon is more general by testing the hypothesis that the ratio of lagged mortality to current infections is decreasing in the total number of vaccines per one hundred individuals in the pre-Omicron period, in a pooled time-series, cross-section sample with weekly observations for up to 208 countries. The main finding is that vaccines moderate the share of mortality from a given pool of lagged infections at sufficiently high levels of vaccination rates, which is essentially a favorable shift in the tradeoff between life preservation and economic performance. The practical lesson is that, in the presence of a sufficiently high share of inoculated individuals, governments can shade down containment measures, even as infections are still rampant, without significant adverse effects on mortality.

Suggested Citation

  • Joshua Aizenman & Alex Cukierman & Yothin Jinjarak & Weining Xin, 2021. "International Evidence on Vaccines and the Mortality to Infections Ratio in the Pre-Omicron Era," NBER Working Papers 29498, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29498
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    1. Karabulut, Gokhan & Zimmermann, Klaus F. & Bilgin, Mehmet Huseyin & Doker, Asli Cansin, 2021. "Democracy and COVID-19 outcomes," Economics Letters, Elsevier, vol. 203(C).
    2. Balázs Égert & Yvan Guillemette & Murtin Fabrice & David Turner, 2021. "Walking the Tightrope: Avoiding a Lockdown While Containing the Virus," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(03), pages 34-40, May.
    3. Yothin Jinjarak & Rashad Ahmed & Sameer Nair-Desai & Weining Xin & Joshua Aizenman, 2020. "Accounting for Global COVID-19 Diffusion Patterns, January–April 2020," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 515-559, October.
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    Cited by:

    1. Bonfiglio, Andrea & Coderoni, Silvia & Esposti, Roberto, 2022. "Policy responses to COVID-19 pandemic waves: Cross-region and cross-sector economic impact," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 252-279.

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    More about this item

    JEL classification:

    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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