Can Personal Dependency Paths Help to Estimate Life Expectancy Free of Dependency?
Irene Albarrán (),
Pablo Alonso González,
Ana Arribas-Gil () and
Aurea Grané ()
Additional contact information
Irene Albarrán: Universidad Carlos III de Madrid
Ana Arribas-Gil: Universidad Carlos III de Madrid
Aurea Grané: Universidad Carlos III de Madrid
A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2014, pp 1-5 from Springer
Abstract:
Abstract The aging of population is perhaps the most important problem that developed countries must face in the near future. In fact, one of the eight tackling societal challenges of the European program Horizon 2020 is concerned with it. Dependency can be seen as a consequence of the process of gradual aging. Therefore, its prevalence on the population, its intensity and evolution over the course of a person’s life have relevant economic, political and social implications. From data base EDAD 2008 the authors constructed a pseudo panel that registers personal evolution of the dependency scale according to the Spanish legislation and obtained individual dependency curves. In this work, our aim is to estimate life expectancy free of dependency using categorical data and the functional information contained in these trajectories.
Keywords: Dependency; Functional data; Life expectancy (search for similar items in EconPapers)
Date: 2014
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:978-3-319-05014-0_1
Ordering information: This item can be ordered from
http://www.springer.com/9783319050140
DOI: 10.1007/978-3-319-05014-0_1
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 ().