Abstract
Some studies have examined the tension between public health benefits and economic costs of interventions in the United States for the COVID-19 pandemic by merging epidemiological and economic models. We extract from these studies a data set consisting of lives saved and the associated costs for each intervention. Our analysis calculates cost–benefit ratios that allow the effectiveness of intervention types to be compared against each other and against the value of the statistical life and the value of the statistical life year. This work identifies patterns in the cost–benefit ratios that illuminate the strengths and weaknesses of different intervention strategies and thereby enhances the practical application of complex theoretical analyses.
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Notes
At the beginning of the COVID-19 pandemic many epidemiological models modeled a single variant and assumed the end of the pandemic would come through reaching herd immunity. However, there are significant challenges to reaching herd immunity in the case of COVID-19 because of vaccine hesitancy, the lack of widespread global access to COVID-19 vaccines, breakthrough infections, short-term immunity, and new variants (Aschwanden 2021; D’Souza and Dowdy 2021). More recently, it has become clear that COVID-19 will be endemic, but perhaps less virulent, and the challenge will be learning how to live with it, rather than eradicating it.
“All ages shelter at home for an extra 75% of the time for 35 weeks” is a longer duration with lesser restrictions on mobility outside home compared to "all ages shelter at home for an extra 90% of the time for 26 weeks" which is a shorter duration but with greater restrictions on mobility outside home (Brotherhood et al. 2021).
We restricted ourselves to these two models for the following reasons. First, the models found little effectiveness of just testing the old as they make up a small percentage of the population. Second, testing plus quarantine was more effective than solely testing, and it is commonsense that quarantines would be imposed on those testing positive. Third age-based testing and quarantine that only targeted the young had very similar outcomes in terms of deaths and costs to those targeting all ages.
For instance, Lyu and Wehby (2020) suggest that early implementation of mask mandates would have averted more than 200,000 COVID-19 cases by May 22, 2021. Chernozhukov, Kasahara, and Schrimpf (2021) argue that nationally mandating face masks for employees early in the pandemic could have reduced the weekly growth rate of cases and deaths by more than 10 percentage points in late April and between 19 and 47 thousand saved lives by the end of May.
References
Acemoglu, Daron, Victor Chernozhukov, Iván. Werning, and Michael D. Whinston. 2021. Optimal targeted lockdowns in a multigroup SIR model. American Economic Review: Insights 3(4): 487–502.
Ackerman, Frank, and Lisa Heinzerling. 2004. Priceless: On knowing the price of everything and the value of nothing, Reprint, New York: The New Press.
Ackerman, Frank, and Lisa Heinzerling. 2001. If it exists, It’s getting bigger: Revising the value of a statistical life. Global Development and Environment Institute Working Paper No. 01-06.
Aldred, Jonathan. 2022. Guiding Covid policy: Cost-benefit analysis and beyond. Cambridge Journal of Economics 46(3): 589–608.
Aldy, Joseph E., and W. Kip Viscusi. 2007. Age differences in the value of statistical life: Revealed preference evidence. Review of Environmental Economics and Policy.
Aldy, Joseph E., and W. Kip Viscusi. 2008. Adjusting the value of a statistical life for age and cohort effects. Review of Economics & Statistics 90(3): 573–581. https://doi.org/10.1162/rest.90.3.573.
Alvarez, Fernando, David Argente, and Francesco Lippi. 2021. A simple planning problem for COVID-19 lock-down, testing, and tracing. American Economic Review: Insights 3(3): 367–382.
Anderson, Elizabeth. 1993. Value in ethics and economics. Harvard University Press.
Aschwanden, Christie. 2021. Five reasons why COVID herd immunity is probably impossible. Nature 591(7851): 520–522. https://doi.org/10.1038/d41586-021-00728-2.
Ashenfelter, Orley. 2006. Measuring the value of a statistical life: problems and prospects. The Economic Journal 116(510): C10–C23.
Avery, Christopher, William Bossert, Adam Clark, Glenn Ellison, and Sara Fisher Ellison. 2020. An economist’s guide to epidemiology models of infectious disease. Journal of Economic Perspectives 34(4): 79–104.
Bairoliya, Neha, and Ay.şe İmrohoroğlu. 2020. Macroeconomic consequences of stay-at-home policies during the COVID-19 pandemic. Centre for Economic Policy Research, COVID Economics 13: 68–87.
Banzhaf, H. Spencer. 2014. Retrospectives: The cold-war origins of the value of statistical life.". Journal of Economic Perspectives 28(4): 213–226.
Banzhaf, H. Spencer. 2022. The value of statistical life: A meta-analysis of meta-analyses. Journal of Benefit-Cost Analysis 13(2): 182–197.
Broome, John. 1985. The economic value of life. Economica 52(207): 281–294.
Brotherhood, Luiz, Philipp Kircher, Cezar Santos, and Michèle Tertilt. 2021. An economic model of the Covid-10 pandemic with young and old agents: Behavior, testing and policies (April). Available on author’s website: https://sites.google.com/site/luizbrotherhood/research. Previous version: An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies. CEPR Discussion Paper No. DP1495 (May 2020).
Bubar, Kate M., Kyle Reinholt, Stephen M. Kissler, Marc Lipsitch, Sarah Cobey, Yonatan H. Grad, and Daniel B. Larremore. 2021. Model-informed COVID-19 vaccine prioritization strategies by age and serostatus. Science 371(6532): 916–921.
Bürgi, Constantin, and Klaus Wohlrabe. 2022. The influence of Covid-19 on publications in economics: bibliometric evidence from five working paper series. Scientometrics 127(9): 5175–5189.
Cameron, Trudy Ann. 2010. Euthanizing the value of a statistical life. Review of Environmental Economics and Policy 4: 2.
Cameron, Trudy Ann, and J.R. DeShazo. 2013. Demand for health risk reductions. Journal of Environmental Economics and Management 65(1): 87–109.
Centers for Disease Control and Prevention. 2021. US State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day Data. Centers for Disease Control and Prevention (February 10). https://data.cdc.gov/Policy-Surveillance/U-S-State-Territorial-and-County-Stay-At-Home-Orde/qz3x-mf9n.
Chernozhukov, Victor, Hiroyuki Kasahara, and Paul Schrimpf. 2021. Causal impact of masks, policies, behavior on early covid-19 pandemic in the US. Journal of Econometrics 220(1): 23–62.
Clyde, William, Andreas Kakolyris, and Georgios Koimisis. 2021. A study of the effectiveness of governmental strategies for managing mortality from COVID-19. Eastern Economic Journal 47(4): 487–505.
Colmer, Jonathan. 2020. What is the meaning of (statistical) life? Benefit–cost analysis in the time of COVID-19. Oxford Review of Economic Policy 36(Supplement_1): S56–S63.
Dorman, Peter. 2009. Markets and mortality: Economics, dangerous work, and the value of human life. Cambridge: Cambridge University Press.
D’Souza, Gypsyamber, and David Dowdy. 2021. What is Herd Immunity and How Can We Achieve It With COVID-19? Johns Hopkins Bloomberg School of Public Health (April 6). https://www.jhsph.edu/covid-19/articles/achieving-herd-immunity-with-covid19.html
Eichenbaum, Martin S., Sergio Rebelo, and Mathias Trabandt. 2021. The macroeconomics of epidemics. The Review of Financial Studies 34(11): 5149–5187.
Evans, Mary F., and V. Kerry Smith. 2006. Do we really understand the age–VSL relationship? Resource and Energy Economics 28(3): 242–261.
Farboodi, Maryam, Gregor Jarosch, and Robert Shimer. 2021. Internal and external effects of social distancing in a pandemic. Journal of Economic Theory 196: 105293.
Favero, Carlo A., Andrea Ichino, and Aldo Rustichini. (2020). Restarting the economy while saving lives under Covid-19. Social Science Research Network (November 8th). https://ssrn.com/abstract=3580626
Ferguson, Neil, Daniel Laydon, Gemma Nedjati Gilani, Natsuko Imai, Kylie Ainslie, Marc Baguelin, Sangeeta Bhatia et al. 2020. Report 9—Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College London, (March 16). http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/report-9-impact-of-npis-on-covid-19/
Flaschel, Peter, Giorgos Galanis, Daniele Tavani, and Roberto Veneziani. 2021. Pandemics and aggregate demand: A framework for policy analysis FMM Working paper No. 62, Düsseldorf: Hans-Böckler-Stiftung, Macroeconomic Policy Institute (IMK), Forum for Macroeconomics and Macroeconomic Policies.
Friedman, H.S. 2020. Ultimate price: The value we place on life. Oakland: University of California Press.
Gagnon, Alain, Matthew S. Miller, Stacey A. Hallman, D. Robert Bourbeau, Ann Herring, David JD. Earn, and Joaquin Madrenas. 2013. Age-specific mortality during the 1918 influenza pandemic: unravelling the mystery of high young adult mortality. PLoS ONE 8(8): e69586.
Glover, Andrew, Jonathan Heathcote, Dirk Krueger, and José-Víctor Ríos-Rull. 2023. Health versus wealth: On the distributional effects of controlling a pandemic. Journal of Monetary Economics.
Greenstone, Michael, and Vishan Nigam. 2020. Does Social Distancing Matter? Becker Friedman Institute for Economics Working Paper No. 2020-26, University of Chicago.
Gollier, Christian. 2020. Cost–benefit analysis of age-specific deconfinement strategies. Journal of Public Economic Theory 22(6): 1746–1771.
Hall, Robert E., Charles I. Jones, and Peter J. Klenow. 2020. Trading off consumption and covid-19 deaths. NBER Working Paper No. 27340, Cambridge: National Bureau of Economic Research.
Hilsenrath, Jon and Stephanie Armour. 2020. As economic toll mounts, Nation Ponders Trade-Offs. Wall Street Journal, (March 23). https://www.wsj.com/articles/as-economic-toll-mounts-nation-ponders-the-trade-offs-11584970165
Hood, Katherine. 2017. The science of value: Economic expertise and the valuation of human life in US federal regulatory agencies. Social Studies of Science 47(4): 441–465.
Huato, Julio, and Aida Chavez. 2021. Household income, pandemic-related income loss, and the probability of anxiety and depression. Eastern Economic Journal 47(4): 546–570.
Johns Hopkins University and Medicine. 2021. COVID-19 Map. Johns Hopkins Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html
Jones, Callum, Thomas Philippon, and Venky Venkateswaran. 2021. Optimal mitigation policies in a pandemic: Social distancing and working from home. The Review of Financial Studies 34(11): 5188–5223.
Jones-Lee, Michael W. 1976. The value of life. Chicago: The University of Chicago Press.
Juranek, Steffen, Jörg. Paetzold, Hannes Winner, and Floris Zoutman. 2021. Labor market effects of COVID-19 in Sweden and its neighbors: Evidence from administrative data. Kyklos 74(4): 512–526.
Kaplan, Greg, Benjamin Moll, and Giovanni L. Violante. 2020. The great lockdown and the big stimulus: Tracing the pandemic possibility frontier for the US. NBER Working Paper No. 27794, Cambridge: National Bureau of Economic Research.
Kermack, William Ogilvy, and Anderson G. McKendrick. 1927. A Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Society of London. Series a, Containing Papers of a Mathematical and Physical Character 115(772): 700–721.
Seonglim, Lee, Sang-Hee. Sohn, Eunyoung Rhee, and Yoon G. Lee. 2014. Consumption patterns and economic status of older households in the United States. Monthly Labor Review 137: 1.
Lyu, Wei, and George L. Wehby. 2020. Community use of face masks and COVID-19: Evidence from a natural experiment of state mandates in the US. Health Affairs 39(8): 1419–1425.
Matrajt, Laura, Julia Eaton, Tiffany Leung, and Elizabeth R. Brown. 2021. Vaccine optimization for COVID-19: Who to vaccinate first? Science Advances 7(6): eabf1374.
Mishan, Ezra J. 1971. Evaluation of life and limb: a theoretical approach. Journal of Political Economy 79(4): 687–705.
Murray, Eleanor J. 2020. Epidemiology’s time of need: COVID-19 calls for epidemic-related economics. Journal of Economic Perspectives 34(4): 105–120.
Nordström, Peter, Marcel Ballin, and Anna Nordström. 2022. Risk of SARS-CoV-2 reinfection and COVID-19 hospitalisation in individuals with natural and hybrid immunity: A retrospective, total population cohort study in Sweden. The Lancet Infectious Diseases 22(6): 781–790.
Price, Gregory, and Eric van Holm. 2021. The effect of social distancing on the early spread of the novel coronavirus. Social Science Quarterly 102(5): 2331–2340.
Qin, Amy. 2020. China may be beating the coronavirus, at a painful cost. The New York Times (March 7). https://www.nytimes.com/2020/03/07/world/asia/china-coronavirus-cost.html
Rampini, Adriano A. 2020. Sequential lifting of COVID-19 interventions with population heterogeneity NBER Working Paper No. 27063, Cambridge: National Bureau of Economic Research.
Robinson, Lisa A., Ryan Sullivan, and Jason F. Shogren. 2021. Do the benefits of COVID-19 policies exceed the costs? Exploring uncertainties in the age–VSL relationship. Risk Analysis 41(5): 761–770.
Schelling, Thomas C. 1968. The Life You Save May be Your Own. Problems in Public Expenditure Analysis: Papers Presented at a Conference of Experts, Washington, DC : Brookings Institution, September 15 - 16, 1966, 127–162.
Shaw, Clara L., and David A. Kennedy. 2021. What the reproductive number R0 can and cannot tell us about COVID-19 dynamics. Theoretical Population Biology 137: 2–9.
Simon, Nathalie B., Chris Dockins, Kelly B. Maguire, Stephen C. Newbold, Alan J. Krupnick, and Laura O. Taylor. 2019. Policy brief—What’s in a name? A search for alternatives to “VSL.” Review of Environmental Economics and Policy 13(1): 155–161.
Sunstein, C.R. 2014. Valuing life: Humanizing the regulatory state. Chicago: University of Chicago Press.
Thunström, Linda, Stephen C. Newbold, David Finnoff, Madison Ashworth, and Jason F. Shogren. 2020. The benefits and costs of using social distancing to flatten the curve for COVID-19. Journal of Benefit-Cost Analysis 11(2): 179–195.
Viscusi, W. Kip. 1992. Fatal tradeoffs: Public and private responsibilities for risk. New York: Oxford University Press.
Viscusi, W. Kip. 2018. Pricing lives: Guideposts for a safer society. Princeton: Princeton University Press.
Viscusi, W. Kip. 2021. Extending the domain of the value of a statistical life. Journal of Benefit-Cost Analysis 12(1): 1–23.
Acknowledgements
The authors would like to thank Michael Ash, João Paulo de Souza, Lisi Krall, Dan Moyer and three anonymous referees for their helpful comments. Any errors are our own.
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Table 4 lists the papers used in this analysis.
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Carrick-Hagenbarth, J., Edlund, E. & Mukherjee, A. Analysis of Hybrid Epidemiological-Economic Models of COVID-19 Mitigation Policies. Eastern Econ J 49, 585–612 (2023). https://doi.org/10.1057/s41302-023-00256-z
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DOI: https://doi.org/10.1057/s41302-023-00256-z