IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2004.08701.html
   My bibliography  Save this paper

Infection arbitrage

Author

Listed:
  • Sander Heinsalu

Abstract

Increasing the infection risk early in an epidemic is individually and socially optimal under some parameter values. The reason is that the early patients recover or die before the peak of the epidemic, which flattens the peak. This improves welfare if the peak exceeds the capacity of the healthcare system and the social loss rises rapidly enough in the number infected. The individual incentive to get infected early comes from the greater likelihood of receiving treatment than at the peak when the disease has overwhelmed healthcare capacity. Calibration to the Covid-19 pandemic data suggests that catching the infection at the start was individually optimal and for some loss functions would have reduced the aggregate loss.

Suggested Citation

  • Sander Heinsalu, 2020. "Infection arbitrage," Papers 2004.08701, arXiv.org, revised Apr 2020.
  • Handle: RePEc:arx:papers:2004.08701
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2004.08701
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goyal, Sanjeev & Vigier, Adrien, 2015. "Interaction, protection and epidemics," Journal of Public Economics, Elsevier, vol. 125(C), pages 64-69.
    2. Andrea Galeotti & Brian W. Rogers, 2013. "Strategic Immunization and Group Structure," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 1-32, May.
    3. Alexis Akira Toda, 2020. "Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and Economic Impact," Papers 2003.11221, arXiv.org, revised Mar 2020.
    4. Rowthorn, Robert & Toxvaerd, Flavio, 2012. "The Optimal Control of Infectious Diseases via Prevention and Treatment," CEPR Discussion Papers 8925, C.E.P.R. Discussion Papers.
    5. Urmee Khan & Maxwell Stinchcombe, 2012. "The Virtues of Hesitation," Working Papers 201425, University of California at Riverside, Department of Economics, revised Sep 2014.
    6. Peltzman, Sam, 1975. "The Effects of Automobile Safety Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 677-725, August.
    7. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of AIDS," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 549-573.
    8. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of the AIDS Epidemic," NBER Working Papers 5428, National Bureau of Economic Research, Inc.
    9. Urmee Khan & Maxwell B. Stinchcombe, 2015. "The Virtues of Hesitation: Optimal Timing in a Non-stationary World," American Economic Review, American Economic Association, vol. 105(3), pages 1147-1176, March.
    10. Auld, M. Christopher, 2003. "Choices, beliefs, and infectious disease dynamics," Journal of Health Economics, Elsevier, vol. 22(3), pages 361-377, May.
    11. Fenichel, Eli P., 2013. "Economic considerations for social distancing and behavioral based policies during an epidemic," Journal of Health Economics, Elsevier, vol. 32(2), pages 440-451.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jonas Hedlund & Allan Hernández-Chanto & Carlos Oyarzún, 2021. "Contagion Management through Information Disclosure," Discussion Papers Series 651, School of Economics, University of Queensland, Australia.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eduard Talamàs & Rakesh Vohra, 2018. "Go Big or Go Home: A Free and Perfectly Safe but Only Partially Effective Vaccine Can Make Everyone Worse Off," PIER Working Paper Archive 18-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 15 Jan 2018.
    2. Heinsalu, Sander, 2021. "Promotion of (interaction) abstinence increases infection prevalence," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 94-112.
    3. Adriani, Fabrizio & Ladley, Dan, 2021. "Social distance, speed of containment and crowding in/out in a network model of contagion," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 597-625.
    4. Goodkin-Gold, Matthew & Kremer, Michael & Snyder, Christopher M. & Williams, Heidi, 2022. "Optimal vaccine subsidies for endemic diseases," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    5. Talamàs, Eduard & Vohra, Rakesh, 2020. "Free and perfectly safe but only partially effective vaccines can harm everyone," Games and Economic Behavior, Elsevier, vol. 122(C), pages 277-289.
    6. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    7. Rowthorn, Robert & Toxvaerd, Flavio, 2012. "The Optimal Control of Infectious Diseases via Prevention and Treatment," CEPR Discussion Papers 8925, C.E.P.R. Discussion Papers.
    8. Sander Heinsalu, 2019. "When abstinence increases prevalence," Papers 1905.02073, arXiv.org.
    9. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    10. Farboodi, Maryam & Jarosch, Gregor & Shimer, Robert, 2021. "Internal and external effects of social distancing in a pandemic," Journal of Economic Theory, Elsevier, vol. 196(C).
    11. Adeline Delavande & Dana Goldman & Neeraj Sood, 2010. "Criminal Prosecution and Human Immunodeficiency Virus-Related Risky Behavior," Journal of Law and Economics, University of Chicago Press, vol. 53(4), pages 741-782.
    12. Aadland David & Finnoff David C. & Huang Kevin X.D., 2013. "Syphilis Cycles," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(1), pages 297-348, June.
    13. Joshua S. Gans, 2020. "The Economic Consequences of R̂ = 1: Towards a Workable Behavioural Epidemiological Model of Pandemics," NBER Working Papers 27632, National Bureau of Economic Research, Inc.
    14. Phelan, Thomas & Toda, Alexis Akira, 2022. "Optimal epidemic control in equilibrium with imperfect testing and enforcement," Journal of Economic Theory, Elsevier, vol. 206(C).
    15. Cerdeiro, Diego A., 2017. "Contagion exposure and protection technology," Games and Economic Behavior, Elsevier, vol. 105(C), pages 230-254.
    16. Daniel Nettle, 2010. "Why Are There Social Gradients in Preventative Health Behavior? A Perspective from Behavioral Ecology," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-6, October.
    17. Byron B. Carson, 2022. "Individuals and Externalities in Economic Epidemiology: A Tension and Synthesis," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 37(Fall 2022), pages 1-24.
    18. Mannberg, Andréa, 2012. "Risk and rationalization—The role of affect and cognitive dissonance for sexual risk taking," European Economic Review, Elsevier, vol. 56(6), pages 1325-1337.
    19. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    20. Thomas Ash & Antonio M. Bento & Daniel Kaffine & Akhil Rao & Ana I. Bento, 2022. "Disease-economy trade-offs under alternative epidemic control strategies," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2004.08701. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.