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Efficient mask allocation during a pandemic

Author

Listed:
  • Wei-Cheng Chen

    (Academia Sinica)

  • Lin Chen

    (Vanderbilt University)

  • Yi-Cheng Kao

    (Chung Yuan Christian University)

Abstract

We analyze the allocation of face masks to minimize mortality during a pandemic through airborne transmission. When the initial distribution of masks is private information, the optimal allocation achieved by a sophisticated mechanism in most cases maximizes the coverage rate by incentivizing individuals who initially own a mask to reveal this information in exchange for a better chance to receive masks in the future. We propose a novel and simple mechanism, which reduces death by a sizable number compared with simple random assignment. Our simulation shows that, for low to medium early coverage rates, the new mechanism approximately attains the minimum mortality.

Suggested Citation

  • Wei-Cheng Chen & Lin Chen & Yi-Cheng Kao, 2024. "Efficient mask allocation during a pandemic," Review of Economic Design, Springer;Society for Economic Design, vol. 28(2), pages 275-311, June.
    • Handle: RePEc:spr:reecde:v:28:y:2024:i:2:d:10.1007_s10058-023-00340-y
    DOI: 10.1007/s10058-023-00340-y
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    References listed on IDEAS

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    1. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    2. James H. Stock, 2020. "Data Gaps and the Policy Response to the Novel Coronavirus," NBER Working Papers 26902, National Bureau of Economic Research, Inc.
    3. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    4. 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.
    5. 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.
    6. Christopher Avery & William Bossert & Adam Clark & Glenn Ellison & Sara Fisher Ellison, 2020. "Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists," NBER Working Papers 27007, National Bureau of Economic Research, Inc.
    7. 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).
    8. Colin J. Worby & Hsiao-Han Chang, 2020. "Face mask use in the general population and optimal resource allocation during the COVID-19 pandemic," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    9. Christopher Avery & William Bossert & Adam Thomas Clark & Glenn Ellison & Sara Ellison, 2020. "Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists," CESifo Working Paper Series 8293, CESifo.
    10. Parag A. Pathak & Tayfun Sönmez & M. Utku Ünver & M. Bumin Yenmez, 2024. "Fair Allocation of Vaccines, Ventilators and Antiviral Treatments: Leaving No Ethical Value Behind in Healthcare Rationing," Management Science, INFORMS, vol. 70(6), pages 3999-4036, June.
    11. Fernando Alvarez & David Argente & Francesco Lippi, 2021. "A Simple Planning Problem for COVID-19 Lock-down, Testing, and Tracing," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 367-382, September.
    12. Callum Jones & Thomas Philippon & Venky Venkateswaran, 2021. "Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home [A simple planning problem for covid-19 lockdown]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5188-5223.
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    More about this item

    Keywords

    COVID-19; Face masks; Medical rationing; Market design; SIR model;
    All these keywords.

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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