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Impact of COVID-19 on elderly population well-being: evidence from European countries

Author

Listed:
  • Gloria Polinesi

    (Università Politecnica delle Marche)

  • Mariateresa Ciommi

    (Università Politecnica delle Marche)

  • Chiara Gigliarano

    (LIUC - Università C. Cattaneo)

Abstract

The aim of this paper is to analyse the effect of COVID-19 on multidimensional well-being in the European population aged 50 and over by measuring changes in individual well-being before and after the pandemic outbreak. To capture the multidimensional nature of well-being, we consider different dimensions: economic well-being, health status, social connections and work status. We introduce new indices of change in individual well-being that measure non-directional, downward and upward movements. Individual indices are then aggregated by country and subgroup for comparison. The properties satisfied by the indices are also discussed. The empirical application is based on micro-data from waves 8 and 9 of the Survey of Health, Ageing and Retirement in Europe (SHARE), carried out for 24 European countries before the pandemic outbreak (regular survey) and in the first two years of the COVID-19 pandemic (June–August 2020 and June–August 2021). The findings suggest that employed and richer individuals suffered greater losses in well-being, while differences based on gender and education diverge from country to country. It also emerges that while the main driver of well-being changes in the first year of the pandemic was economics, the health dimension also strongly contributed to upward and downward well-being changes in the second year.

Suggested Citation

  • Gloria Polinesi & Mariateresa Ciommi & Chiara Gigliarano, 2024. "Impact of COVID-19 on elderly population well-being: evidence from European countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5201-5223, December.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:6:d:10.1007_s11135-023-01656-1
    DOI: 10.1007/s11135-023-01656-1
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    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. Brent Bleys, 2012. "Beyond GDP: Classifying Alternative Measures for Progress," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 109(3), pages 355-376, December.
    3. Mehmet Pinar, 2019. "Multidimensional Well-Being and Inequality Across the European Regions with Alternative Interactions Between the Well-Being Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 31-72, July.
    4. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    5. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    6. Enrico Ivaldi & Guido Bonatti & Riccardo Soliani, 2016. "The Construction of a Synthetic Index Comparing Multidimensional Well-Being in the European Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 397-430, January.
    7. Tauhidur Rahman & Ron C. Mittelhammer & Philip Wandschneider, 2005. "Measuring the Quality of Life Across Countries: a Sensitivity Analysis of Well-Being Indices," WIDER Working Paper Series RP2005-06, World Institute for Development Economic Research (UNU-WIDER).
    8. Lars Osberg & Andrew Sharpe, 2002. "An Index of Economic Well–Being for Selected OECD Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 291-316, September.
    Full references (including those not matched with items on IDEAS)

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