IDEAS home Printed from https://ideas.repec.org/p/oxf/wpaper/955.html
   My bibliography  Save this paper

Excess mortality versus COVID-19 death rates: a spatial analysis of socioeconomic disparities and political allegiance across US states

Author

Listed:
  • Janine Aron
  • John Muellbauer

Abstract

Excess mortality is a more robust measure than the counts of COVID-19 deaths typically used in epidemiological and spatial studies. Measurement issues around excess mortality, considering data quality and comparability both internationally and within the US, are surveyed. This paper is the first state-level spatial analysis of cumulative excess mortality for the US in the first full year of the pandemic. There is strong evidence that states with higher Democrat vote shares experienced lower excess mortality (consistent with county-level studies of COVID-19 deaths and partisanship). Important demographic and socio-economic controls from a broad set tested were racial composition, age structure, population density, poverty, income, temperature, timing of arrival of the pandemic and political allegiance. Interaction effects suggest the Democrat vote share effect of reducing mortality was even greater in states where the pandemic arrived early. Omitting political allegiance leads to a significant underestimation of the mortality disparities for minority populations.

Suggested Citation

  • Janine Aron & John Muellbauer, 2021. "Excess mortality versus COVID-19 death rates: a spatial analysis of socioeconomic disparities and political allegiance across US states," Economics Series Working Papers 955 JEL classification: I, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:955
    as

    Download full text from publisher

    File URL: https://ora.ox.ac.uk/objects/uuid:ce465734-04db-4328-af4d-c22a096144ec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    2. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2023. "Robust Discovery of Regression Models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 31-51.
    3. Moll, Benjamin & Kaplan, Greg & Violante, Giovanni, 2020. "The Great Lockdown and the Big Stimulus: Tracing the Pandemic Possibility Frontier for the U.S," CEPR Discussion Papers 15256, C.E.P.R. Discussion Papers.
    4. Loomes, Graham & McKenzie, Lynda, 1989. "The use of QALYs in health care decision making," Social Science & Medicine, Elsevier, vol. 28(4), pages 299-308, January.
    5. C. P. Farrington & N. J. Andrews & A. D. Beale & M. A. Catchpole, 1996. "A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 547-563, May.
    6. Aron, Janine & Muellbauer, John, 2020. "Transatlantic excess mortality comparisons in the pandemic," INET Oxford Working Papers 2020-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    7. McLaren John, 2021. "Racial Disparity in COVID-19 Deaths: Seeking Economic Roots with Census Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(3), pages 897-919, July.
    8. Christopher R. Knittel & Bora Ozaltun, 2020. "What Does and Does Not Correlate with COVID-19 Death Rates," NBER Working Papers 27391, National Bureau of Economic Research, Inc.
    9. 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.
    10. James N. Druckman & Samara Klar & Yanna Krupnikov & Matthew Levendusky & John Barry Ryan, 2021. "Affective polarization, local contexts and public opinion in America," Nature Human Behaviour, Nature, vol. 5(1), pages 28-38, January.
    11. Gwyn Aneuryn-Evans & Angus Deaton, 1980. "Testing Linear versus Logarithmic Regression Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 275-291.
    12. Anton Gollwitzer & Cameron Martel & William J. Brady & Philip Pärnamets & Isaac G. Freedman & Eric D. Knowles & Jay J. Van Bavel, 2020. "Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 4(11), pages 1186-1197, November.
    13. 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.
    14. Andrew C Stokes & Dielle J Lundberg & Irma T Elo & Katherine Hempstead & Jacob Bor & Samuel H Preston, 2021. "COVID-19 and excess mortality in the United States: A county-level analysis," PLOS Medicine, Public Library of Science, vol. 18(5), pages 1-18, May.
    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. Lucia Freira & Marco Sartorio & Cynthia Boruchowicz & Florencia Lopez Boo & Joaquin Navajas, 2021. "The interplay between partisanship, forecasted COVID-19 deaths, and support for preventive policies," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    2. James N. Druckman, 2022. "Threats to Science: Politicization, Misinformation, and Inequalities," The ANNALS of the American Academy of Political and Social Science, , vol. 700(1), pages 8-24, March.
    3. Ruchi Avtar & Rajashri Chakrabarti & Lindsay Meyerson & William Nober & Maxim L. Pinkovskiy, 2020. "The Affordable Care Act and the COVID-19 Pandemic: A Regression Discontinuity Analysis," Staff Reports 948, Federal Reserve Bank of New York.
    4. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    5. Mario Lackner & Uwe Sunde & Rudolf Winter-Ebmer, 2023. "The Forces Behind Social Unrest: Evidence from the Covid-19 Pandemic," Economics working papers 2023-07, Department of Economics, Johannes Kepler University Linz, Austria.
    6. Desmet, Klaus & Wacziarg, Romain, 2022. "JUE Insight: Understanding spatial variation in COVID-19 across the United States," Journal of Urban Economics, Elsevier, vol. 127(C).
    7. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    8. Mehmet Ronael & Tüzin Baycan, 2022. "Place-based factors affecting COVID-19 incidences in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1053-1086, October.
    9. Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2023. "Copula-based estimation of health inequality measures with an application to COVID-19," University of East Anglia School of Economics Working Paper Series 2023-01, School of Economics, University of East Anglia, Norwich, UK..
    10. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    11. Caitlin Brown & Martin Ravallion, 2023. "Inequality and Social Distancing during the Pandemic," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 679-702, September.
    12. Martin Bodenstein & Giancarlo Corsetti & Luca Guerrieri, 2022. "Social distancing and supply disruptions in a pandemic," Quantitative Economics, Econometric Society, vol. 13(2), pages 681-721, May.
    13. Young, Dannagal G. & Rasheed, Huma & Bleakley, Amy & Langbaum, Jessica B., 2022. "The politics of mask-wearing: Political preferences, reactance, and conflict aversion during COVID," Social Science & Medicine, Elsevier, vol. 298(C).
    14. Sandra H. Goff & John Ifcher & Homa Zarghamee & Alex Reents & Patrick Wade, 2023. "Support for bigger government: The principle‐implementation gap and COVID‐19," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 243-261, April.
    15. Amy M. Wolaver & John A. Doces, 2021. "The impact of COVID‐19 and political identification on framing bias in an infectious disease experiment: The frame reigns supreme," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2459-2471, November.
    16. Floyd Jiuyun Zhang, 2023. "Political endorsement by Nature and trust in scientific expertise during COVID-19," Nature Human Behaviour, Nature, vol. 7(5), pages 696-706, May.
    17. Deiana, Claudio & Geraci, Andrea & Mazzarella, Gianluca & Sabatini, Fabio, 2022. "Can relief measures nudge compliance in a public health crisis? Evidence from a kinked fiscal policy rule," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 407-428.
    18. Lackner, Mario & Sunde, Uwe & Winter-Ebmer, Rudolf, 2021. "Covid-19 and the Forces Behind Social Unrest," IHS Working Paper Series 37, Institute for Advanced Studies.
    19. Hunt Allcott & Levi Boxell & Jacob C. Conway & Billy A. Ferguson & Matthew Gentzkow & Benjamin Goldman, 2020. "What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic?," NBER Working Papers 27965, National Bureau of Economic Research, Inc.
    20. Jacek Rothert, 2021. "Optimal federal transfers during uncoordinated response to a pandemic," GRAPE Working Papers 58, GRAPE Group for Research in Applied Economics.

    More about this item

    Keywords

    Excess Mortality; COVID-19; Spatial Analysis; US States; Political Polarization;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oxf:wpaper:955. 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: Anne Pouliquen (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.html .

    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.