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Can Personal Dependency Paths Help to Estimate Life Expectancy Free of Dependency?

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Irene Albarrán

    (Universidad Carlos III de Madrid)

  • Pablo Alonso

    (Universidad de Alcalá)

  • Ana Arribas-Gil

    (Universidad Carlos III de Madrid)

  • Aurea Grané

    (Universidad Carlos III de Madrid)

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.

Suggested Citation

  • Irene Albarrán & Pablo Alonso & Ana Arribas-Gil & Aurea Grané, 2014. "Can Personal Dependency Paths Help to Estimate Life Expectancy Free of Dependency?," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, edition 127, pages 1-5, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-05014-0_1
    DOI: 10.1007/978-3-319-05014-0_1
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