RT Journal Article
T1 A global indicator to track well-being in the silver and golden age
A1 Guo, Qi
A1 Grané Chávez, Aurea
A1 Albarrán Lozano, Irene
AB In this work, we design a protocol to obtain global indicators of health and well-beingfrom weighted and longitudinal heterogeneous multivariate data. First, we consider a setof thematic sub-indicators of interest observed in several periods. Next, we combine themusing the Common Principal Component (CPC) model. For this purpose, we put a newstraightforward CPC model to cope with weighted and longitudinal data and develop a newstatistic to test the validity of the CPC-longitudinal model, whose distribution is obtainedby stratified bootstrap. To illustrate this methodology, we use data from the last threewaves of the Survey of Health, Ageing and Retirement in Europe (SHARE), which is thelargest cross-European social science panel study data set covering insights into the publichealth and socio-economic living conditions of European individuals. In particular, we firstdesign four thematic indicators that focus on general health status, dependency situation,self-perceived health, and socio-economic status. We then apply the CPC-longitudinalmodel to obtain a global indicator to track the well-being in the silver and golden age inthe 18 participating European countries from 2015 to 2020. We found that the latest surveywave 8 captures the early reactions of respondents successfully. The pandemic significantlyworsens people"s physical health conditions; however, the analysis of their self-perceivedhealth presents a delay. Tracking the performances of our global indicator, we also foundthat people living in Northern Europe mainly have better health and well-being status thanin other participating countries.
PB Springer
SN 0303-8300
YR 2023
FD 2023-01-01
LK https://hdl.handle.net/10016/39120
UL https://hdl.handle.net/10016/39120
LA eng
NO Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the Spanish Ministry of Science and Innovation under Grants no. PID2021-123592OB-I00 and TED2021-129316B-I00.
DS e-Archivo
RD 1 sept. 2024