IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i4p2434-d753783.html
   My bibliography  Save this article

The Longevity-Frailty Hypothesis: Evidence from COVID-19 Death Rates in Europe

Author

Listed:
  • Sammy Zahran

    (Department of Economics, Colorado State University, Fort Collins, CO 80523, USA
    Department of Epidemiology, Colorado School of Public Health, Fort Collins, CO 80045, USA)

  • Levi Altringer

    (Department of Economics, Colorado State University, Fort Collins, CO 80523, USA)

  • Ashok Prasad

    (Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80521, USA)

Abstract

By the end of spring (31 May), the COVID-19 death rate was remarkably unevenly distributed across the countries in Europe. While the risk of COVID-19 mortality is known to increase with age, age-specific COVID-19 death rates across Europe were similarly unevenly distributed. To explain these mortality distributions, we present a simple model where more favorable survival environments promote longevity and the accumulation of health frailty among the elderly while less favorable survival environments induce a mortality selection process that results in lower health frailty. Because the age-related conditions of frailty render the elderly less resistant to SARS-CoV-2, pre-existing survival environments may be non-obviously positively related to the COVID-19 death rate. To quantify the survival environment parameter of our model, we leveraged historic cohort- and period-based age-specific probabilities of death and life expectancies at age 65 across Europe. All variables are significantly correlated with indicators of frailty like elderly dependence on others for personal and household care for a subset of European countries. With respect to COVID-19 death rates, we find significant positive relationships between our survival indicators and COVID-19 death rates across Europe, a result that is robust to statistical control for the capacity of a healthcare system to treat and survive infected persons, the timing and stringency of non-pharmaceutical interventions, population density, age structure, case rates and the volume of inbound international travelers, among other factors. To address possible concerns over reporting heterogeneity across countries, we show that results are robust to the substitution of our response variable for a measure of cumulative excess mortality. Also consistent with the intuition of our model, we also show a strong negative association between age-specific COVID-19 death rates and pre-existing all-cause age-specific mortality rates for a subset of European countries. Overall, results support the notion that variation in pre-existing frailty, resulting from heterogeneous survival environments, partially accounts for striking differences in COVID-19 death during the first wave of the pandemic.

Suggested Citation

  • Sammy Zahran & Levi Altringer & Ashok Prasad, 2022. "The Longevity-Frailty Hypothesis: Evidence from COVID-19 Death Rates in Europe," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2434-:d:753783
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/4/2434/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/4/2434/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    2. Christian Dudel & Timothy Riffe & Enrique Acosta & Alyson A. van Raalte & Cosmo Strozza & Mikko Myrskylä, 2020. "Monitoring trends and differences in COVID-19 case-fatality rates using decomposition methods: contributions of age structure and age-specific fatality," MPIDR Working Papers WP-2020-020, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Douglas Almond & Janet Currie, 2011. "Killing Me Softly: The Fetal Origins Hypothesis," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 153-172, Summer.
    4. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    5. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
    6. A. Bhargava & L. Franzini & W. Narendranathan, 2006. "Serial Correlation and the Fixed Effects Model," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 4, pages 61-77, World Scientific Publishing Co. Pte. Ltd..
    7. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
    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. Herby, Jonas & Jonung, Lars & Hanke, Steve, 2022. "A Literature Review and Meta-Analysis of the Effects of Lockdowns on Covid-19 Mortality - II," MPRA Paper 113732, University Library of Munich, Germany.

    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. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    2. Okui, Ryo, 2009. "Testing serial correlation in fixed effects regression models based on asymptotically unbiased autocorrelation estimators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2897-2909.
    3. Czarnitzki, Dirk & Doherr, Thorsten & Hussinger, Katrin & Schliessler, Paula & Toole, Andrew A., 2016. "Knowledge Creates Markets: The influence of entrepreneurial support and patent rights on academic entrepreneurship," European Economic Review, Elsevier, vol. 86(C), pages 131-146.
    4. Dejan Kovacevic, 2015. "Empirical Evidence for the Bank Lending Channel in Bosnia and Herzegovina: Does Lending Differ Between Large and Small Banks?," IHEID Working Papers 10-2015, Economics Section, The Graduate Institute of International Studies.
    5. Mountain, Bruce R., 2019. "Ownership, regulation, and financial disparity: The case of electricity distribution in Australia," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    6. Wacziarg, Romain & Wallack, Jessica Seddon, 2004. "Trade liberalization and intersectoral labor movements," Journal of International Economics, Elsevier, vol. 64(2), pages 411-439, December.
    7. Tsekeris, Theodore, 2016. "Interregional trade network analysis for road freight transport in Greece," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 132-148.
    8. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    9. A Salim, Ruhu & Mahfuz Kabir, Mohammad, 2011. "Does More Trade Potential Remain in Arab States of the Gulf ?," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 26, pages 217-243.
    10. Thierry Warin & Phanindra V. Wunnava & Hubert P. Janicki, 2009. "Testing Mundell's Intuition of Endogenous OCA Theory," Review of International Economics, Wiley Blackwell, vol. 17(1), pages 74-86, February.
    11. Graziella Caselli & Marc Luy, 2013. "Determinants of unusual and differential longevity: an introduction," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 1-13.
    12. Kevin Milligan & Tammy Schirle, 2021. "The evolution of longevity: Evidence from Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 164-192, February.
    13. Stefan Bauernschuster & Anastasia Driva & Erik Hornung, 2020. "Bismarck’s Health Insurance and the Mortality Decline [Disease and Development: The Effect of Life Expectancy on Economic Growth]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2561-2607.
    14. Bhalotra, Sonia & Karlsson, Martin & Nilsson, Therese, 2014. "Life Expectancy and Mother-Baby Interventions. Evidence from A Historical Trial," Ruhr Economic Papers 504, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Inoue, Atsushi & Solon, Gary, 2006. "A Portmanteau Test For Serially Correlated Errors In Fixed Effects Models," Econometric Theory, Cambridge University Press, vol. 22(5), pages 835-851, October.
    16. Eskander, Shaikh M.S.U. & Barbier, Edward B., 2022. "Long-term impacts of the 1970 cyclone in Bangladesh," World Development, Elsevier, vol. 152(C).
    17. Öztürk, Gamze & Yetkiner, Hakan & Özden, Elif, 2020. "Macroeconomic determinants of antidepressant use," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1394-1407.
    18. Michael Batu, 2019. "Can remittances buy peace?," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 27(4), pages 891-913, October.
    19. Maura Francese & Massimiliano Piacenza & Marzia Romanelli & Gilberto Turati, 2011. "Understanding Inappropriateness in Health Care: The Role of Supply Structure, Pricing Policies and Political Institutions in Caesarean Deliveries," ERSA conference papers ersa11p1439, European Regional Science Association.
    20. Aisbett, Emma, 2007. "Bilateral Investment Treaties and Foreign Direct Investment: Correlation versus Causation," MPRA Paper 2255, University Library of Munich, Germany.

    More about this item

    Keywords

    COVID-19; frailty; longevity;
    All these 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:gam:jijerp:v:19:y:2022:i:4:p:2434-:d:753783. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.