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Economic lessons for COVID‐19 pandemic policies

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  • W. Kip Viscusi

Abstract

The COVID‐19 pandemic poses novel health issues. However, the benefits and costs of the pandemic and policies to address it have a familiar economic structure. Chief among the health‐related benefits are the monetized values of the U.S. mortality costs of $3.9 trillion in 2020. The combined U.S. mortality and morbidity costs are $5.5–5.9 trillion. Global mortality costs in 2020 total $10.1 trillion. The skewed age distribution of COVID‐19 illnesses has stimulated increased advocacy of downward adjustments in the value of a statistical life (VSL) for older people. This article examines the role of age for policy analysis generally and for the rationing of scarce medical treatments, such as ventilators. Mortality risk reduction benefits should be based on the reduced probability of death multiplied by the pertinent VSL. Effective communication of risks to foster precautions hinges on the credibility of the information source, which public officials have jeopardized. Efficient control of risks imposes limits on personal freedoms to foster health improvements.

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  • W. Kip Viscusi, 2021. "Economic lessons for COVID‐19 pandemic policies," Southern Economic Journal, John Wiley & Sons, vol. 87(4), pages 1064-1089, April.
    • Handle: RePEc:wly:soecon:v:87:y:2021:i:4:p:1064-1089
    DOI: 10.1002/soej.12492
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    References listed on IDEAS

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    1. James K. Hammitt, 2020. "Valuing mortality risk in the time of COVID-19," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 129-154, October.
    2. Viscusi, W Kip, 1997. "Alarmist Decisions with Divergent Risk Information," Economic Journal, Royal Economic Society, vol. 107(445), pages 1657-1670, November.
    3. Adler, Matthew, 2020. "What should we spend to save lives in a pandemic? A critique of the value of statistical life," LSE Research Online Documents on Economics 105283, London School of Economics and Political Science, LSE Library.
    4. W. Kip Viscusi, 1994. "Mortality Effects of Regulatory Costs and Policy Evaluation Criteria," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 94-109, Spring.
    5. Viscusi, W. Kip & Masterman, Clayton J., 2017. "Income Elasticities and Global Values of a Statistical Life," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 8(2), pages 226-250, July.
    6. W. Kip Viscusi & Richard J. Zeckhauser, 2005. "Recollection Bias and the Combat of Terrorism," The Journal of Legal Studies, University of Chicago Press, vol. 34(1), pages 27-55, January.
    7. W. Kip Viscusi, 2020. "Pricing the global health risks of the COVID-19 pandemic," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 101-128, October.
    8. Masterman, Clayton J. & Viscusi, W. Kip, 2018. "The Income Elasticity of Global Values of a Statistical Life: Stated Preference Evidence," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 9(3), pages 407-434, October.
    9. O'Conor, Richard M. & Blomquist, Glenn C., 1997. "Measurement of consumer-patient preferences using a hybrid contingent valuation method," Journal of Health Economics, Elsevier, vol. 16(6), pages 667-683, December.
    10. James Broughel & W. Kip Viscusi, 2021. "The Mortality Cost Of Expenditures," Contemporary Economic Policy, Western Economic Association International, vol. 39(1), pages 156-167, January.
    11. Blomquist, Glenn C. & Dickie, Mark & O'Conor, Richard M., 2011. "Willingness to pay for improving fatality risks and asthma symptoms: Values for children and adults of all ages," Resource and Energy Economics, Elsevier, vol. 33(2), pages 410-425, May.
    12. Gentry, Elissa Philip & Viscusi, W. Kip, 2016. "The fatality and morbidity components of the value of statistical life," Journal of Health Economics, Elsevier, vol. 46(C), pages 90-99.
    13. Kip Viscusi, W. & Magat, Wesley A. & Huber, Joel, 1991. "Pricing environmental health risks: survey assessments of risk-risk and risk-dollar trade-offs for chronic bronchitis," Journal of Environmental Economics and Management, Elsevier, vol. 21(1), pages 32-51, July.
    14. Thunström, Linda & Newbold, Stephen C. & Finnoff, David & Ashworth, Madison & Shogren, Jason F., 2020. "The Benefits and Costs of Using Social Distancing to Flatten the Curve for COVID-19," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 11(2), pages 179-195, July.
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    Cited by:

    1. Patrick Carlin & Brian E. Dixon & Kosali I. Simon & Ryan Sullivan & Coady Wing, 2022. "How Undervalued is the Covid-19 Vaccine? Evidence from Discrete Choice Experiments and VSL Benchmarks," NBER Working Papers 30118, National Bureau of Economic Research, Inc.
    2. Mark Pingle, 2022. "Addressing threats like Covid: why we will tend to over-react and how we can do better," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 21(1), pages 9-23, June.

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