Publication: A global indicator to track well-being in the silver and golden age
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2023-01-01
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Springer
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Abstract
In this work, we design a protocol to obtain global indicators of health and well-being
from weighted and longitudinal heterogeneous multivariate data. First, we consider a set
of thematic sub-indicators of interest observed in several periods. Next, we combine them
using the Common Principal Component (CPC) model. For this purpose, we put a new
straightforward CPC model to cope with weighted and longitudinal data and develop a new
statistic to test the validity of the CPC-longitudinal model, whose distribution is obtained
by stratified bootstrap. To illustrate this methodology, we use data from the last three
waves of the Survey of Health, Ageing and Retirement in Europe (SHARE), which is the
largest cross-European social science panel study data set covering insights into the public
health and socio-economic living conditions of European individuals. In particular, we first
design four thematic indicators that focus on general health status, dependency situation,
self-perceived health, and socio-economic status. We then apply the CPC-longitudinal
model to obtain a global indicator to track the well-being in the silver and golden age in
the 18 participating European countries from 2015 to 2020. We found that the latest survey
wave 8 captures the early reactions of respondents successfully. The pandemic significantly
worsens people"s physical health conditions; however, the analysis of their self-perceived
health presents a delay. Tracking the performances of our global indicator, we also found
that people living in Northern Europe mainly have better health and well-being status than
in other participating countries.
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Keywords
Ageing, Bootstrap, Ccmmon principal components, Longitudinal data, Public health, Well-being
Bibliographic citation
Guo, Q., Grané, A., & Albarrán, I. (2023). A Global Indicator to Track Well-Being in the Silver and Golden Age. En Social Indicators Research, 169 (3), pp. 1057-1086.