Health and Wellbeing Profiles Across Europe
Aurea Grané (),
Irene Albarrán () and
Roger Lumley ()
Additional contact information
Aurea Grané: Universidad Carlos III de Madrid
Irene Albarrán: Universidad Carlos III de Madrid
Roger Lumley: Universidad Carlos III de Madrid
A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2021, pp 265-271 from Springer
Abstract:
Abstract The main objective of this paper is to create profiles of older Europeans to better understand differing levels of dependency across Europe. Data comes from the latest wave 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. By using the information of around 30 variables of mixed type, we design four health composite indices for each respondent: self-perception of health, physical health and nutrition, mental agility and level of dependency. These indices are combined with a collection of descriptive variables via the k-prototypes clustering algorithm, leading to five profiles that segment the dataset into the least to the most individuals at risk of health and well-being.
Keywords: Ageing; Clustering; Dependency; Wellbeing (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-78965-7_39
Ordering information: This item can be ordered from
http://www.springer.com/9783030789657
DOI: 10.1007/978-3-030-78965-7_39
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().