Abstract
This PhD research proposal aims to address critical gaps in the understanding of cumulative (dis)advantages and active ageing through a multidimensional and longitudinal analysis of well-being among older Europeans. As the global population aged 60 and above is projected to double by 2050, there is an urgent need for robust methods to assess and mitigate inequalities in ageing populations. This study employs a multidimensional framework to investigate how early-life conditions, micro-level triggers, and macro-level shocks influence cumulative inequalities over the life course. Utilising data from the Survey of Health, Ageing and Retirement in Europe (SHARE), the research will identify interdependencies among well-being dimensions, model the dynamics of cumulative (dis)advantages, and examine the resilience of older adults in response to major socio-economic crises such as the 2008 financial crisis and the COVID-19 pandemic. The methodological framework includes copula-based analysis, a data operationalisation of the active ageing concept, quantile regression, and non-parametric regression. This study seeks to provide policymakers with comprehensive insights to design more effective interventions that promote active ageing and reduce long-term disadvantages among older populations.
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