IDEAS home Printed from https://ideas.repec.org/a/kap/jbioec/v23y2021i1d10.1007_s10818-021-09309-9.html
   My bibliography  Save this article

Examining the impact of socioeconomic variables on COVID-19 death rates at the state level

Author

Listed:
  • James L. Doti

    (Chapman University)

Abstract

This study uses a step-wise regression model to identify the socioeconomic variables most significant in explaining COVID-19 death rates on a state-level basis. The regression tests cover the 1/1/2020 to 12/1/2020 period as well as the first and second halves of 2020. This study also uses the Oxford stringency index to measure more precisely the efficacy of governmental mandates at the state level. The results in this study rigorously showed that while the density variables were the most significant explanatory variables during the first half of the year, their significance fell during the second half. Use of the Oxford stringency index revealed that more stringent mandates led to significant reductions in COVID-19 death rates, especially during the second half of the year. The study’s findings also reveal that a higher poverty rate in a state is significantly associated with higher COVID-19 death rates during all three periods tested.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jbioec:v:23:y:2021:i:1:d:10.1007_s10818-021-09309-9
    DOI: 10.1007/s10818-021-09309-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10818-021-09309-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10818-021-09309-9?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Kumar, S. & Quinn, S.C. & Kim, K.H. & Daniel, L.H. & Freimuth, V.S., 2012. "The impact of workplace policies and other social factors on self-reported influenza-like illness incidence during the 2009 H1N1 pandemic," American Journal of Public Health, American Public Health Association, vol. 102(1), pages 134-140.
    2. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," IZA Discussion Papers 13159, Institute of Labor Economics (IZA).
    3. Hamidi, Shima & Zandiatashbar, Ahoura & Bonakdar, Ahmad, 2019. "The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 394-402.
    4. Jeffrey E. Harris, 2020. "The Subways Seeded the Massive Coronavirus Epidemic in New York City," NBER Working Papers 27021, National Bureau of Economic Research, Inc.
    5. Santos, Cezar & Brotherhood, Luiz & Kircher, Philipp & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    6. Lowcock, E.C. & Rosella, L.C. & Foisy, J. & McGeer, A. & Crowcroft, N., 2012. "The social determinants of health and pandemic h1n1 2009 influenza severity," American Journal of Public Health, American Public Health Association, vol. 102(8), pages 51-58.
    7. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
    8. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    9. Hasan Muhammad Baniamin & Mizanur Rahman & Mohammad Tareq Hasan, 2020. "The COVID-19 pandemic: why are some countries coping more successfully than others?," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 42(3), pages 153-169, July.
    10. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
    11. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    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. Janine Aron & John Muellbauer, 2022. "Excess Mortality Versus COVID‐19 Death Rates: A Spatial Analysis of Socioeconomic Disparities and Political Allegiance Across U.S. States," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 348-392, June.
    2. 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.

    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. 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.
    2. 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.
    3. 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.
    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. Belot, Michèle & Choi, Syngjoo & Tripodi, Egon & Van den Broek-Altenburg, Eline & Jamison, Julian C. & Papageorge, Nicholas, 2020. "Unequal Consequences of Covid 19 across Age and Income: Representative Evidence from Six Countries," CEPR Discussion Papers 14908, C.E.P.R. Discussion Papers.
    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. 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.
    14. Facundo Piguillem & Liyan Shi, 2022. "Optimal Covid-19 Quarantine and Testing Policies," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2534-2562.
    15. 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.
    16. St-Amour, Pascal, 2024. "Valuing life over the life cycle," Journal of Health Economics, Elsevier, vol. 93(C).
    17. 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.
    18. 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.
    19. Masayuki Morikawa, 2022. "Work‐from‐home productivity during the COVID‐19 pandemic: Evidence from Japan," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 508-527, April.
    20. Bradley, Jake & Ruggieri, Alessandro & Spencer, Adam Hal, 2021. "Twin Peaks: Covid-19 and the labor market," European Economic Review, Elsevier, vol. 138(C).

    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:23:y:2021:i:1:d:10.1007_s10818-021-09309-9. 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.