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    Ageing unequally in Europe
    (Oxford University Press, 2020-09-11)
    Abstract To shed light on the quality of the ageing experience in Europe and its heterogeneity, this study adapts and computes the Active Ageing Index—an index constructed at the country level to monitor ageing quality in Europe—at the individual level. This strategy allows the measuring of inequality in the experience of active ageing and is flexible enough to consider different value judgements in the overall assessment of the quality of life while ageing. The study examines the predictors of this inequality by using regressions with a Gini-recentred influence function. It finds that education plays a very significant role in reducing inequality, though its influence varies across countries. Furthermore, the study uncovers large variance in the quality of the ageing experience across Europe. For instance, more than 50% of the populations of Romania, Lithuania and Bulgaria show a level of active ageing quality lower than that of the bottom decile of the distribution in Sweden.
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    Item type:Publication,
    Ageing unequally in Latin America
    (Springer, 2025)
    This paper studies active ageing and its distribution among older adults in a sample of 18 Latin American countries. For this purpose, a multidimensional index of active ageing is estimated for each individual, as well as its distribution in each country. This strategy makes it possible to measure inequalities in the ageing process, and also to consider different value judgements in the overall assessment of well-being during ageing. Thus, the study sheds light on discrepancies in the quality of ageing within and between countries. Furthermore, individual factors associated with the degree of inequality in active ageing are analysed by means of regressions using Gini re-centred influence functions. A higher proportion of people with secondary education and better access to water and sewerage services is found to be associated with reduced inequality in active ageing. Country-level variables — such as health expenditure, pension coverage, access to health care and the poverty rate among older people — are key in explaining between-country differences in active ageing.
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