IDEAS home Printed from https://ideas.repec.org/a/kap/jbioec/v25y2023i3d10.1007_s10818-023-09339-5.html
   My bibliography  Save this article

The impact of vaccinations and chronic disease on COVID death rates

Author

Listed:
  • James L. Doti

    (Chapman University)

Abstract

This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was found to be highly significant. The only ethnic/racial characteristic that was significant in explaining COVID deaths was the percentage of American Indians/Alaska Natives residing in a state. Other ethnic/racial characteristics, as well as variables representing population, density, governmental stringency, and income, were not significant over the period tested.

Suggested Citation

  • James L. Doti, 2023. "The impact of vaccinations and chronic disease on COVID death rates," Journal of Bioeconomics, Springer, vol. 25(3), pages 239-269, December.
    • Handle: RePEc:kap:jbioec:v:25:y:2023:i:3:d:10.1007_s10818-023-09339-5
    DOI: 10.1007/s10818-023-09339-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10818-023-09339-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10818-023-09339-5?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. Luiz Brotherhood & Philipp Kircher & Cezar Santos & Michèle Tertilt, 2020. "An Economic Model of the Covid-19 Epidemic: The Importance of Testing and Age-Specific Policies," CESifo Working Paper Series 8316, CESifo.
    2. Barro, Robert J., 2022. "Vaccination rates and COVID outcomes across U.S. states," Economics & Human Biology, Elsevier, vol. 47(C).
    3. Marina Mileo Gorzig & D. L. Feir & Randall Akee & Samuel Myers & Marium Navid & Kai Tiede & Olivia Matzke, 2022. "Native American Age at Death in the USA," Journal of Economics, Race, and Policy, Springer, vol. 5(3), pages 194-209, September.
    4. James L. Doti, 2021. "Examining the impact of socioeconomic variables on COVID-19 death rates at the state level," Journal of Bioeconomics, Springer, vol. 23(1), pages 15-53, April.
    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. Christian Gollier, 2020. "Cost–benefit analysis of age‐specific deconfinement strategies," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(6), pages 1746-1771, December.
    2. Ichino, Andrea & Favero, Carlo A. & Rustichini, Aldo, 2020. "Restarting the economy while saving lives under Covid-19," CEPR Discussion Papers 14664, C.E.P.R. Discussion Papers.
    3. Erkmen G Aslim & Wei Fu & Chia-Lun Liu & Erdal Tekin, 2024. "Vaccination Policy, Delayed Care and Health Expenditures," The Economic Journal, Royal Economic Society, vol. 134(664), pages 3096-3136.
    4. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    5. Marion Davin & Mouez Fodha & Thomas Seegmuller, 2021. "Environment, public debt and epidemics," AMSE Working Papers 2128, Aix-Marseille School of Economics, France.
    6. Shami, Labib & Lazebnik, Teddy, 2022. "Economic aspects of the detection of new strains in a multi-strain epidemiological–mathematical model," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    7. Michele Belot & Syngjoo Choi & Egon Tripodi & Eline van den Broek-Altenburg & Julian C. Jamison & Nicholas W. Papageorge, 2020. "Unequal Consequences of Covid 19 across Age and Income: Representative Evidence from Six Countries," Working Paper Series no135, Institute of Economic Research, Seoul National University.
    8. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
    9. Brotherhood, Luiz & Cavalcanti, Tiago & Da Mata, Daniel & Santos, Cezar, 2022. "Slums and pandemics," Journal of Development Economics, Elsevier, vol. 157(C).
    10. Santos, Cezar & Kozeniauskas, Nicholas & Moreira, Pedro, 2020. "Covid-19 and Firms: Productivity and Government Policies," CEPR Discussion Papers 15156, C.E.P.R. Discussion Papers.
    11. 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.
    12. Alipour, Jean-Victor & Fadinger, Harald & Schymik, Jan, 2021. "My home is my castle – The benefits of working from home during a pandemic crisis," Journal of Public Economics, Elsevier, vol. 196(C).
    13. Kaba, Mustafa & Koyuncu, Murat & Schneider, Sebastian O. & Sutter, Matthias, 2024. "Social norms, political polarization, and vaccination attitudes: Evidence from a survey experiment in Turkey," European Economic Review, Elsevier, vol. 168(C).
    14. Teresa Barbieri & Gaetano Basso & Sergio Scicchitano, 2022. "Italian Workers at Risk During the COVID-19 Epidemic," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 175-195, March.
    15. 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.
    16. Facundo Piguillem & Liyan Shi, 2022. "Optimal Covid-19 Quarantine and Testing Policies," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2534-2562.
    17. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    18. St-Amour, Pascal, 2024. "Valuing life over the life cycle," Journal of Health Economics, Elsevier, vol. 93(C).
    19. Alberto Bisin & Andrea Moro, 2020. "Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses," NBER Working Papers 27590, National Bureau of Economic Research, Inc.
    20. Timo Boppart & Karl Harmenberg & John Hassler & Per Krusell & Jonna Olsson, 2020. "Integrated Epi-Econ Assessment," NBER Working Papers 28282, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • 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
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:kap:jbioec:v:25:y:2023:i:3:d:10.1007_s10818-023-09339-5. 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.