IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v21y2023i1d10.1007_s40258-022-00757-6.html
   My bibliography  Save this article

Determinants of COVID-19 Vaccine Rollouts and Their Effects on Health Outcomes

Author

Listed:
  • Pragyan Deb

    (International Monetary Fund)

  • Davide Furceri

    (International Monetary Fund)

  • Daniel Jimenez

    (International Monetary Fund)

  • Siddharth Kothari

    (International Monetary Fund)

  • Jonathan D. Ostry

    (Georgetown University)

  • Nour Tawk

    (International Monetary Fund)

Abstract

Background Vaccination against the coronavirus disease (SARS-CoV-2) is understood to be the key way out of the COVID-19 pandemic. Limited evidence exists on the determinants of vaccine rollouts and their health effects at the country level. Objective Examine the determinants of COVID-19 vaccine rollouts and their effects on health outcomes. Methods Ordinary least squares regressions with standard errors clustered at the country level for Cross-section and Panel daily data of vaccinations and various health outcomes (new COVID-19 cases, fatalities, intensive care unit (ICU) admissions) for an unbalanced sample of about 200 countries during the period 16 December 2020 to 20 June 2021. Results We find evidence that: (i) early vaccine procurement, domestic production of vaccines, the severity of the pandemic, a country’s health infrastructure, and vaccine acceptance are significant determinants of the speed of vaccination rollouts; (ii) vaccine deployment significantly reduces new COVID-19 infections, Intensive Care Unit (ICU) admissions, and fatalities, and is more effective when coupled with stringent containment measures, or when a country is experiencing a large outbreak; and (iii) COVID-19 cases in neighboring countries can lead to an increase in a country’s domestic caseload, and hamper efforts in taming its own local outbreak. Conclusions By providing an early broad overview of the quantitative empirical estimates of the determinants of vaccine rollouts and the effects of COVID-19 vaccines, our paper can help policymakers make informed decisions about local and global distributions of vaccines, as well as related policy tools, such as containment measure.

Suggested Citation

  • Pragyan Deb & Davide Furceri & Daniel Jimenez & Siddharth Kothari & Jonathan D. Ostry & Nour Tawk, 2023. "Determinants of COVID-19 Vaccine Rollouts and Their Effects on Health Outcomes," Applied Health Economics and Health Policy, Springer, vol. 21(1), pages 71-89, January.
  • Handle: RePEc:spr:aphecp:v:21:y:2023:i:1:d:10.1007_s40258-022-00757-6
    DOI: 10.1007/s40258-022-00757-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-022-00757-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40258-022-00757-6?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mr. Pragyan Deb & Davide Furceri & Mr. Jonathan David Ostry & Nour Tawk, 2020. "The Effect of Containment Measures on the COVID-19 Pandemic," IMF Working Papers 2020/159, International Monetary Fund.
    2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    3. Rajeev K. Goel & Michael A. Nelson, 2021. "Drivers of COVID-19 vaccinations: vaccine delivery and delivery efficiency in the United States," Netnomics, Springer, vol. 22(1), pages 53-69, June.
    4. Isaiah Andrews & James H. Stock & Liyang Sun, 2019. "Weak Instruments in Instrumental Variables Regression: Theory and Practice," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 727-753, August.
    5. Ruchir Agarwal & Ms. Gita Gopinath, 2021. "A Proposal to End the COVID-19 Pandemic," IMF Staff Discussion Notes 2021/004, International Monetary Fund.
    6. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207, Decembrie.
    7. Philipp Engler & Nathalie Pouokam & Diego Rodriguez Guzman & Mrs. Irina Yakadina, 2020. "The Great Lockdown: International Risk Sharing Through Trade and Policy Coordination," IMF Working Papers 2020/242, International Monetary Fund.
    8. Hibah Khan & Ms. Era Dabla-Norris & Frederico Lima & Alexandre Sollaci, 2021. "Who Doesn’t Want to be Vaccinated? Determinants of Vaccine Hesitancy During COVID-19," IMF Working Papers 2021/130, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    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. Michael Arghyrou, 2009. "Monetary policy before and after the euro: evidence from Greece," Empirical Economics, Springer, vol. 36(3), pages 621-643, June.
    2. Carrière-Swallow, Yan & Firat, Melih & Furceri, Davide & Jiménez, Daniel, 2023. "State-Dependent Exchange Rate Pass-Through," Working papers 106, Red Investigadores de Economía.
    3. Alfano, Vincenzo & Capasso, Salvatore & Ercolano, Salvatore & Goel, Rajeev K., 2022. "Death takes no bribes: Impact of perceived corruption on the effectiveness of non-pharmaceutical interventions at combating COVID-19," Social Science & Medicine, Elsevier, vol. 301(C).
    4. Arghyrou, Michael G. & Gadea, Maria Dolores, 2012. "The single monetary policy and domestic macro-fundamentals: Evidence from Spain," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 16-34.
    5. Alfred A. Haug & India Power, 2022. "Government Spending Multipliers in Times of Tight and Loose Monetary Policy in New Zealand," The Economic Record, The Economic Society of Australia, vol. 98(322), pages 249-270, September.
    6. Bettarelli, Luca & Estefania-Flores, Julia & Furceri, Davide & Loungani, Prakash & Pizzuto, Pietro, 2023. "Energy inflation and consumption inequality," Energy Economics, Elsevier, vol. 124(C).
    7. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
    8. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    9. Thomas Baudin & Robert Stelter, 2022. "The rural exodus and the rise of Europe," Journal of Economic Growth, Springer, vol. 27(3), pages 365-414, September.
    10. Kožić, Ivan & Sever, Ivan, 2014. "Measuring business cycles: Empirical Mode Decomposition of economic time series," Economics Letters, Elsevier, vol. 123(3), pages 287-290.
    11. Rajeev K. Goel & Shoji Haruna, 2021. "Unmasking the demand for masks: Analytics of mandating coronavirus masks," Metroeconomica, Wiley Blackwell, vol. 72(3), pages 580-591, July.
    12. Peter Phillips, 2010. "Two New Zealand pioneer econometricians," New Zealand Economic Papers, Taylor & Francis Journals, vol. 44(1), pages 1-26.
    13. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    14. Carlo Altavilla & Paul De Grauwe, 2010. "Forecasting and combining competing models of exchange rate determination," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3455-3480.
    15. Matsumura, Marco & Moreira, Ajax & Vicente, José, 2011. "Forecasting the yield curve with linear factor models," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 237-243.
    16. Konon, Alexander & Fritsch, Michael & Kritikos, Alexander S., 2018. "Business cycles and start-ups across industries: An empirical analysis of German regions," Journal of Business Venturing, Elsevier, vol. 33(6), pages 742-761.
    17. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Business School - Economics, University of Glasgow, revised Mar 2002.
    18. Anton Muscatelli & Patrizio Tirelli & Carmine Trecroci, 2001. "Monetary and Fiscal Policy Interactions over the Cycle: Some Empirical Evidence," Working Papers 2002_13, Business School - Economics, University of Glasgow, revised Oct 2002.
    19. Vitek, Francis, 2006. "Measuring the Stance of Monetary Policy in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach," MPRA Paper 802, University Library of Munich, Germany.
    20. Herwartz, H. & Xu, F., 2010. "A functional coefficient model view of the Feldstein-Horioka puzzle," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 37-54, February.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

    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:spr:aphecp:v:21:y:2023:i:1:d:10.1007_s40258-022-00757-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.