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

被引：3

作者：

Polinesi G. ^{[1
]}

Ciommi M. ^{[1
]}

Gigliarano C. ^{[2
]}

机构：

[1] Department of Economics and Social Sciences, Università Politecnica delle Marche, Piazzale Martelli 8, Ancona

[2] LIUC - Università C. Cattaneo, C.so Matteotti 22, VA, Castellanza

来源：

Quality & Quantity | 2024年 / 58卷 / 6期

基金：

欧盟地平线“2020”;

关键词：

Composite indicators; COVID-19; Multidimensional well-being; SHARE survey;

D O I：

10.1007/s11135-023-01656-1

中图分类号：

学科分类号：

摘要：

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. © The Author(s) 2023.

引用

页码：5201 / 5223

页数：22

共 25 条

[1]

Alkire S., Foster J., Counting and multidimensional poverty measurement, J. Public Econ, 95, 7-8, pp. 476-487, (2011)

[2]

Bergmann M., Kneip T., De Luca G., Scherpenzeel A., Survey Participation in the Survey of Health, Ageing and Retirement in Europe (share), wave 1–6, (2017)

[3]

Bleys B., Beyond gdp: Classifying alternative measures for progress, Soc. Indicat. Res, 109, 3, pp. 355-376, (2012)

[4]

Borsch-Supan A., Survey of health, ageing and retirement in europe (Share) wave 5, Release Version 6(0), (2017)

[5]

Borsch-Supan A., Brandt M., Hunkler C., Kneip T., Korbmacher J., Malter F., Schaan B., Stuck S., Zuber S., Data resource profile: the survey of health, ageing and retirement in europe (share), Int. J. Epidemiol, 42, 4, pp. 992-1001, (2013)

[6]

Durand M., The oecd better life initiative: How’s life? and the measurement of well-being, Rev. Income Wealth, 61, 1, pp. 4-17, (2015)

[7]

Foster J., Greer J., Thorbecke E., A class of decomposable poverty measures, Econometrica, 52, 3, pp. 761-766, (1984)

[8]

Gigliarano C., Chelli F.M., Measuring inter-temporal intragenerational mobility: An application to the italian labour market, Qual. Quant, 50, 1, pp. 89-102, (2016)

[9]

Grane A., Albarran I., Merchan D.E., Impact of pandemic on european well-being: visualizing scenarios from the share database, Int. J. Environ. Res. Public Health, 18, 9, (2021)

[10]

Ivaldi E., Bonatti G., Soliani R., The construction of a synthetic index comparing multidimensional well-being in the european union, Soc. Indicat. Res, 125, 2, pp. 397-430, (2016)

← 1 2 3 →