IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v45y2022ics154461232100204x.html
   My bibliography  Save this article

Optimal lockdown policy for vaccination during COVID-19 pandemic

Author

Listed:
  • Fu, Yuting
  • Jin, Hanqing
  • Xiang, Haitao
  • Wang, Ning

Abstract

As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinate a massive population to achieve herd immunity. However, the whole vaccination programme is a long and complicated process. The virus and the vaccine will coexist for quite a long time. How to gradually ease the lockdown based on vaccination progress is an important question, as both economic and epidemiological issues are involved. In this paper, we extend the classic SIR model to find optimal decision to balance between economy and public health in the process of vaccination rollout. The model provides an approach of vaccine value estimation. Our results provide scientific suggestion for policymakers to make important decisions on how to gradually relax the strength for the lockdown over the entire vaccination cycle.

Suggested Citation

  • Fu, Yuting & Jin, Hanqing & Xiang, Haitao & Wang, Ning, 2022. "Optimal lockdown policy for vaccination during COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    • Handle: RePEc:eee:finlet:v:45:y:2022:i:c:s154461232100204x
    DOI: 10.1016/j.frl.2021.102123
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S154461232100204X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2021.102123?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Viral V. Acharya & Timothy Johnson & Suresh Sundaresan & Steven Zheng, 2020. "The Value of a Cure: An Asset Pricing Perspective," NBER Working Papers 28127, National Bureau of Economic Research, Inc.
    2. Cem Çakmaklı & Selva Demiralp & Ṣebnem Kalemli-Özcan & Sevcan Yeşiltaş & Muhammed A. Yıldırım, 2021. "The Economic Case for Global Vaccinations: An Epidemiological Model with International Production Networks," NBER Working Papers 28395, National Bureau of Economic Research, Inc.
    3. Fernando Alvarez & David Argente, 2020. "A Simple Planning Problem for COVID-19 Lockdown," Working Papers 2020-34, Becker Friedman Institute for Research In Economics.
    4. 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.
    5. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    6. 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.
    7. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    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. Caulkins, J.P. & Grass, D. & Feichtinger, G. & Hartl, R.F. & Kort, P.M. & Kuhn, M. & Prskawetz, A. & Sanchez-Romero, M. & Seidl, A. & Wrzaczek, S., 2023. "The hammer and the jab: Are COVID-19 lockdowns and vaccinations complements or substitutes?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 233-250.
    2. Li, Shi & Li, Meng & Fu, Rongsha, 2024. "A sustainable pandemic response: The impact of COVID-19 vaccination coverage on economic policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 316-332.
    3. Ren, He & Zheng, Yi, 2023. "COVID-19 vaccination and household savings: An economic recovery channel," Finance Research Letters, Elsevier, vol. 54(C).
    4. Li, Yanshuang & Shi, Yujie & Shi, Yongdong & Yi, Shangkun & Zhang, Weiping, 2023. "COVID-19 vaccinations and risk spillovers: Evidence from Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    5. Kumar, Viney & Bhattacharyya, Samit, 2023. "Nonlinear effect of sentiments and opinion sharing on vaccination decision in face of an outbreak: A multiplex network approach," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).

    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. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    2. Martín Gonzalez-Eiras & Dirk Niepelt, 2020. "Optimally Controlling an Epidemic," CESifo Working Paper Series 8770, CESifo.
    3. Hakan Yilmazkuday, 2021. "Welfare costs of COVID‐19: Evidence from US counties," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 826-848, September.
    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. Biswas, Debajyoti & Alfandari, Laurent, 2022. "Designing an optimal sequence of non‐pharmaceutical interventions for controlling COVID-19," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1372-1391.
    6. 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.
    7. Zhen Zhu & Enzo Weber & Till Strohsal & Duaa Serhan, 2020. "Sustainable Border Control Policy in the COVID-19 Pandemic: A Math Modeling Study," Papers 2008.13561, arXiv.org, revised Feb 2021.
    8. Getachew, Yoseph, 2020. "Optimal social distancing in SIR based macroeconomic models," MERIT Working Papers 2020-034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Goenka, Aditya & Liu, Lin & Nguyen, Manh-Hung, 2021. "SIR economic epidemiological models with disease induced mortality," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    10. Dizioli, Allan & Pinheiro, Roberto, 2021. "Information and inequality in the time of a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    11. Gerson Javier Pérez-Valbuena & Jaime Bonet-Morón & Diana Ricciulli-Marín & Paula Barrios, 2024. "Reglas fiscales subnacionales en Colombia: desde su concepción hasta los resultados frente al COVID-19," Coyuntura Económica, Fedesarrollo, vol. 54, pages 83-142.
    12. Attar, M. Aykut & Tekin-Koru, Ayça, 2022. "Latent social distancing: Identification, causes and consequences," Economic Systems, Elsevier, vol. 46(1).
    13. 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).
    14. Camera, Gabriele & Gioffré, Alessandro, 2021. "The economic impact of lockdowns: A theoretical assessment," Journal of Mathematical Economics, Elsevier, vol. 97(C).
    15. Çakmaklı, Cem & Demiralp, Selva & Özcan, Şebnem Kalemli & Yeşiltaş, Sevcan & Yıldırım, Muhammed A., 2023. "COVID-19 and emerging markets: A SIR model, demand shocks and capital flows," Journal of International Economics, Elsevier, vol. 145(C).
    16. Lee, Sokbae & Liao, Yuan & Seo, Myung Hwan & Shin, Youngki, 2021. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," Journal of Econometrics, Elsevier, vol. 220(1), pages 158-180.
    17. Janssen, Aljoscha & Shapiro, Matthew H., 2021. "Does precise case disclosure limit precautionary behavior? Evidence from COVID-19 in Singapore," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 700-714.
    18. Aditya Goenka & Lin Liu & Manh-Hung Nguyen, 2021. "Modeling optimal quarantines with waning immunity," Discussion Papers 21-10, Department of Economics, University of Birmingham.
    19. Masciandaro, Donato & Goodhart, Charles & Ugolini, Stefano, 2021. "Pandemic recession and helicopter money: Venice, 1629–1631," Financial History Review, Cambridge University Press, vol. 28(3), pages 300-318, December.
    20. Bianchi, Francesco & Bianchi, Giada & Song, Dongho, 2023. "The long-term impact of the COVID-19 unemployment shock on life expectancy and mortality rates," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:finlet:v:45:y:2022:i:c:s154461232100204x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.