Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey

Aurea Grané, Irene Albarrán and Roger Lumley
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Aurea Grané: Statistics Department, Universidad Carlos III de Madrid, 28903 Getafe, Spain
Irene Albarrán: Statistics Department, Universidad Carlos III de Madrid, 28903 Getafe, Spain
Roger Lumley: Statistics Department, Universidad Carlos III de Madrid, 28903 Getafe, Spain

IJERPH, 2020, vol. 17, issue 21, 1-18

Abstract: The main objective of this paper is to visualize profiles of older Europeans to better understand differing levels of dependency across Europe. Data comes from wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE), carried out in 18 countries and representing over 124 million aged individuals in Europe. Using the information of around 30 mixed-type variables, we design four composite indices of wellbeing for each respondent: self-perception of health, physical health and nutrition, mental agility, and level of dependency. Next, by implementing the k -prototypes clustering algorithm, profiles are created by combining those indices with a collection of socio-economic and demographic variables about the respondents. Five profiles are established that segment the dataset into the least to the most individuals at risk of health and socio-economic wellbeing. The methodology we propose is wide enough to be extended to other surveys or disciplines.

Keywords: ageing; clustering; dependency; long-term care; wellbeing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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