Research article Special Issues

The consequences of COVID-19 on older adults: evidence from the SHARE Corona Survey

  • Received: 13 December 2021 Revised: 26 March 2022 Accepted: 28 March 2022 Published: 29 March 2022
  • JEL Codes: C13, D10, I31

  • The COVID-19 pandemic is revealing itself to be much more than a health crisis: it is becoming an economic and social one as well. Some segments of the population are more affected than others from the detrimental economic troubles brought about by COVID-19, which are likely going to become worse, and last longer, than the pandemic itself. Inequalities are going to rise, due to loss of wellbeing caused by the measures taken to contrast the spread of the virus. Such measures were directed towards everyone, despite the most vulnerable to the health consequences were also the ones with the smallest role on the economy. However, the economic consequences of the pandemic are especially affecting high-risk groups such as older adults. Making use of the SHARE Corona Survey, we examine the impact of COVID-19 among the older European population, focusing on their ability to make ends meet, loss of employment, and financial support received. Our results show that the ability to get through the month and the likelihood of job loss is positively correlated with increasing age, while aged individuals are less likely to receive financial support. Moreover, we show that such support mostly goes to those who really need it. We also reveal the existence of a social component of poverty. Finally, we highlight some interesting country group differences.

    Citation: Demetrio Panarello, Giorgio Tassinari. The consequences of COVID-19 on older adults: evidence from the SHARE Corona Survey[J]. National Accounting Review, 2022, 4(1): 56-73. doi: 10.3934/NAR.2022004

    Related Papers:

  • The COVID-19 pandemic is revealing itself to be much more than a health crisis: it is becoming an economic and social one as well. Some segments of the population are more affected than others from the detrimental economic troubles brought about by COVID-19, which are likely going to become worse, and last longer, than the pandemic itself. Inequalities are going to rise, due to loss of wellbeing caused by the measures taken to contrast the spread of the virus. Such measures were directed towards everyone, despite the most vulnerable to the health consequences were also the ones with the smallest role on the economy. However, the economic consequences of the pandemic are especially affecting high-risk groups such as older adults. Making use of the SHARE Corona Survey, we examine the impact of COVID-19 among the older European population, focusing on their ability to make ends meet, loss of employment, and financial support received. Our results show that the ability to get through the month and the likelihood of job loss is positively correlated with increasing age, while aged individuals are less likely to receive financial support. Moreover, we show that such support mostly goes to those who really need it. We also reveal the existence of a social component of poverty. Finally, we highlight some interesting country group differences.



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    [1] Abeliansky AL, Strulik H (2019) Long-run improvements in human health: Steady but unequal. J Econ Ageing 14. https://doi.org/10.1016/j.jeoa.2019.01.003 doi: 10.1016/j.jeoa.2019.01.003
    [2] Antipova A, Momeni E (2021) Unemployment in socially disadvantaged communities in Tennessee, US, during the COVID-19. Front Sustain Cities 3. https://doi.org/10.3389/frsc.2021.726489 doi: 10.3389/frsc.2021.726489
    [3] Aspachs O, Durante R, Graziano A, et al. (2021) Tracking the impact of COVID-19 on economic inequality at high frequency. PLoS One 16. https://doi.org/10.1371/journal.pone.0249121 doi: 10.1371/journal.pone.0249121
    [4] Assari S (2017) Whites but not blacks gain life expectancy from social contacts. Behav Sci 7: 68–89. https://doi.org/10.3390/bs7040068 doi: 10.3390/bs7040068
    [5] Barichello R (2020) The COVID-19 pandemic: Anticipating its effects on Canada's agricultural trade. Canad J Agr Econ 68: 219–224. https://doi.org/10.1111/cjag.12244 doi: 10.1111/cjag.12244
    [6] Börsch-Supan A, Brandt M, Hunkler C, et al. (2013) Data resource profile: the Survey of Health, Ageing and Retirement in Europe (SHARE). Int J Epidemiol 42: 992–1001. https://doi.org/10.1093/ije/dyt088 doi: 10.1093/ije/dyt088
    [7] Börsch-Supan A (2020) Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 7. Release version: 7.1.1. SHARE-ERIC. Data set. https://doi.org/10.6103/SHARE.w7.711
    [8] Börsch-Supan A (2021) Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 8. Release version: 1.0.0. SHARE-ERIC. Data set. https://doi.org/10.6103/SHARE.w8ca.100
    [9] Brodeur A, Gray D, Islam A, et al. (2021) A literature review of the economics of COVID-19. J Econ Surv 35: 1007–1044. https://doi.org/10.1111/joes.12423 doi: 10.1111/joes.12423
    [10] Busetta G, Campolo MG, Fiorillo F, et al. (2021) Effects of COVID-19 lockdown on university students' anxiety disorder in Italy. Genus 77: 25. https://doi.org/10.1186/s41118-021-00135-5 doi: 10.1186/s41118-021-00135-5
    [11] Busetta G, Campolo MG, Panarello D (2022) Economic expectations and anxiety during the COVID-19 pandemic: a one-year longitudinal evaluation on Italian university students. Qual Quant. https://doi.org/10.1007/s11135-022-01330-y doi: 10.1007/s11135-022-01330-y
    [12] Christensen T (2021) The Social Policy Response to COVID-19–The Failure to Help Vulnerable Children and Elderly People. Public Organiz Rev 21: 707–722. https://doi.org/10.1007/s11115-021-00560-2 doi: 10.1007/s11115-021-00560-2
    [13] Cristea M, Georgiana Noja G, Dănăcică DE, et al. (2020) Population ageing, labour productivity and economic welfare in the European Union. Econ Res-Ekon Istraž 33: 1354–1376. https://doi.org/10.1080/1331677X.2020.1748507 doi: 10.1080/1331677X.2020.1748507
    [14] Danielli S, Patria R, Donnelly P, et al. (2021) Economic interventions to ameliorate the impact of COVID-19 on the economy and health: an international comparison. J Public Health 43: 42–46. https://doi.org/10.1093/pubmed/fdaa104 doi: 10.1093/pubmed/fdaa104
    [15] Dickens WT (1990) Error components in grouped data: is it ever worth weighting? Rev Econ Stat 72: 328–333. https://doi.org/10.2307/2109723 doi: 10.2307/2109723
    [16] Eurostat (2021a) Database. Available from: https://ec.europa.eu/eurostat/data/database.
    [17] Eurostat (2021b) Early estimates of income and poverty in 2020. Available from: https://ec.europa.eu/eurostat/web/products-eurostat-news/-/ddn-20210705-1.
    [18] Eurostat (2021c) European Statistical Recovery Dashboard. Available from: https://ec.europa.eu/eurostat/cache/recovery-dashboard.
    [19] Ezeaku HC, Asongu SA, Nnanna J (2021) Volatility of international commodity prices in times of COVID-19: Effects of oil supply and global demand shocks. Extract Ind Soc 8: 257–270. https://doi.org/10.1016/j.exis.2020.12.013 doi: 10.1016/j.exis.2020.12.013
    [20] Gallego VM, Codorniu JM, Cabrero GR (2021) The impact of COVID-19 on the elderly dependent population in Spain with special reference to the residential care sector. Cien Saude Colet 26: 159–168. https://doi.org/10.1590/1413-81232020261.33872020 doi: 10.1590/1413-81232020261.33872020
    [21] Giambona F, Grassini L, Vignoli D (2022) Detecting economic insecurity in Italy: a latent transition modelling approach. Stat Methods Appl. https://doi.org/10.1007/s10260-021-00609-y doi: 10.1007/s10260-021-00609-y
    [22] Gietel-Basten S, Matus K, Mori R (2022) COVID-19 as a trigger for innovation in policy action for older persons? Evidence from Asia. Policy Soc 41: 168–186. https://doi.org/10.1093/polsoc/puab012 doi: 10.1093/polsoc/puab012
    [23] Gilligan M, Suitor JJ, Rurka M, et al. (2020) Multigenerational social support in the face of the COVID-19 pandemic. J Fam Theory Rev 12: 431–447. https://doi.org/10.1111/jftr.12397 doi: 10.1111/jftr.12397
    [24] Gunessee S, Subramanian N (2020) Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters. Int J Oper Prod Manage 40: 1201–1223. https://doi.org/10.1108/IJOPM-07-2019-0530 doi: 10.1108/IJOPM-07-2019-0530
    [25] IMF (2021) World Economic Outlook update, Fault Lines Widen in the Global Recovery. Available from: https://www.imf.org/en/Publications/WEO/Issues/2021/07/27/world-economic-outlook-update-july-2021
    [26] Ivanov D, Dolgui A (2020) Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. Int J Prod Res 58: 2904–2915. https://doi.org/10.1080/00207543.2020.1750727 doi: 10.1080/00207543.2020.1750727
    [27] Kaushal V, Srivastava S (2021) Hospitality and tourism industry amid COVID-19 pandemic: Perspectives on challenges and learnings from India. Int J Hosp Manag 92. https://doi.org/10.1016/j.ijhm.2020.102707 doi: 10.1016/j.ijhm.2020.102707
    [28] Mackenbach JP (2019) Health Inequalities: Persistence and change in European welfare states, Oxford University Press. https://doi.org/10.1093/oso/9780198831419.001.0001
    [29] Majumdar A, Shaw M, Sinha SK (2020) COVID-19 debunks the myth of socially sustainable supply chain: A case of the clothing industry in South Asian countries. Sustain Prod Consum 24: 150–155. https://doi.org/10.1016/j.spc.2020.07.001 doi: 10.1016/j.spc.2020.07.001
    [30] Minkler MA, Satariano WA, Langhauser C (1983) Supportive exchange: An exploration of the relationship between social contacts and perceived health status in the elderly. Arch Gerontol Geriatr 2: 211–220. https://doi.org/10.1016/0167-4943(83)90024-9 doi: 10.1016/0167-4943(83)90024-9
    [31] OECD (2021) Economic Outlook. https://doi.org/10.1787/66c5ac2c-en
    [32] Padhan R, Prabheesh KP (2021) The economics of COVID-19 pandemic: A survey. Econ Anal Policy 70: 220–237. https://doi.org/10.1016/j.eap.2021.02.012 doi: 10.1016/j.eap.2021.02.012
    [33] Panarello D (2021) Economic insecurity, conservatism, and the crisis of environmentalism: 30 years of evidence. Socio-Econ Plan Sci 73. https://doi.org/10.1016/j.seps.2020.100925 doi: 10.1016/j.seps.2020.100925
    [34] Panarello D, Tassinari G (2022) One year of COVID-19 in Italy: are containment policies enough to shape the pandemic pattern? Socio-Econ Plan Sci 79. https://doi.org/10.1016/j.seps.2021.101120 doi: 10.1016/j.seps.2021.101120
    [35] Pant S, Subedi M (2020) Impact of COVID-19 on the elderly. J Patan Acad Health Sci 7: 32–38. https://doi.org/10.3126/jpahs.v7i2.31104 doi: 10.3126/jpahs.v7i2.31104
    [36] Paul SK, Chowdhury P (2020) A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19. Int J Phys Distrib Logistics Manage 51: 104–125. https://doi.org/10.1108/IJPDLM-04-2020-0127 doi: 10.1108/IJPDLM-04-2020-0127
    [37] Rohde N, Tang KK (2018) Economic insecurity: Theoretical approaches. In Handbook of research on economic and social well-being, In: D'Ambrosio C, Handbook of Research on Economic and Social Well-Being, Edward Elgar Publishing, 300–315. https://doi.org/10.4337/9781781953716.00018
    [38] Scherpenzeel A, Axt K, Bergmann M, et al. (2020) Collecting survey data among the 50+ population during the COVID-19 outbreak: The Survey of Health, Ageing and Retirement in Europe (SHARE). Surv Res Meth 14: 217–221. https://doi.org/10.18148/srm/2020.v14i2.7738 doi: 10.18148/srm/2020.v14i2.7738
    [39] Smith JP (1999) Healthy bodies and thick wallets: the dual relation between health and economic status. J Econ perspect 13: 145–166. https://doi.org/10.1257/jep.13.2.145 doi: 10.1257/jep.13.2.145
    [40] Teresiene D, Keliuotyte-Staniuleniene G, Liao Y, et al. (2021) The Impact of the COVID-19 Pandemic on Consumer and Business Confidence Indicators. J Risk Financial Manag 14: 159–181. https://doi.org/10.3390/jrfm14040159 doi: 10.3390/jrfm14040159
    [41] Tsionas MG (2020) COVID-19 and gradual adjustment in the tourism, hospitality, and related industries. Tourism Econ 27: 1828–1832. https://doi.org/10.1177/1354816620933039 doi: 10.1177/1354816620933039
    [42] United Nations (2021) Regional groups of Member States. Available from: https://www.un.org/dgacm/en/content/regional-groups.
    [43] Vaculíková J, Hanková M (2021) Risk Factors Affecting Mental Health During the Early Stages of the Covid-19 Pandemic in High-Risk 50+ Population in the Czech Republic. J Gerontol Soc Work 65: 143–167. https://doi.org/10.1080/01634372.2021.1939219 doi: 10.1080/01634372.2021.1939219
    [44] Winship C, Radbill L (1994) Sampling weights and regression analysis. Sociol Method Res 23: 230–257. https://doi.org/10.1177/0049124194023002004 doi: 10.1177/0049124194023002004
    [45] World Bank (2021) Global Economic Prospects, June. Washington D.C. Available from: https://openknowledge.worldbank.org/bitstream/handle/10986/35647/9781464816659.pdf.
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