Titlebook: Building Evidence for Active Ageing Policies; Active Ageing Index Asghar Zaidi,Sarah Harper,Jolanta Perek-Białas Book 2018 The Editor(s) (

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Yoshinori Dobashi,Shizuo Kaji,Kei Iwasaki role as a useful tool to support political decision-making. The index for Biscay was calculated for the period 2012–2014, following the internationally agreed methodology, but at the same time it took into account the specificities of the region and the availability of data sources. It was based on

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Mathematics in Computer Graphics,tions implemented across Europe, there is a widespread lack of awareness and know-how within local and regional authorities on the value and mechanisms of self-assessing the impact of AFE initiatives so that they can be monitored and improved, and more effectively scaled and transferred to other loc

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Curse and Blessing of High Dimensionality, (AAI) in 2007 and 2012 focusing on (1) analysis to detect the impact of the crisis on the AAI over time; (2) analysis of regional differences, since Italy is still affected by social and economic disparities; and (3) analysis of gender differences to measure gaps in the active ageing experiences. F

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The Concept of Intuition in Mathematics,stated preferences. The approach is based on Random Utility Theory and could provide valuable information on marginal substitution rates between AAI indicators and domains. Complementing the current AAI methodology with preference-based weights may also allow assessing preference variation across di

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,Dummett’s Case for Intuitionism,ndex for cohorts formed by age group, sex and country for 2012. The analysis is performed with different model regressions at the cohort level and introducing macro variables at the country level. In general, there is a gap in active ageing in detriment of females which is larger in older cohorts. F

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https://doi.org/10.1007/978-94-015-9315-1ildren) and non-care (e.g., voluntary work) activities. By using data from the Survey of Health, Ageing and Retirement in Europe and by applying Latent Class Analysis, the analyses identify three clusters of older people with similar patterns of social participation that vary by the type of activiti

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