A joint longitudinal and survival model with health care usage for insured elderly

Xavier Piulachs (), Ramon Alemany () and Montserrat Guillen
Additional contact information
Xavier Piulachs: Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona
Ramon Alemany: Department of Econometrics, Riskcenter-IREA, Universitat de Barcelona

No 2014-07, Working Papers from Universitat de Barcelona, UB Riskcenter

Abstract: We study longevity and usage of medical resources of a sample of individuals aged 65 years or more who are covered by a private insurance policy. A longitudinal analysis is presented, where the yearly cumulative number of medical coverage requests by each subject characterizes insurance intensity of care until death. We confirm that there is a significant correlation between the longitudinal data on usage level and the survival time processes. We obtain dynamic estimations of event probabilities and we exploit the potential of joint models for personalized survival curve adjustment.

Keywords: joint modeling; health insurance; personalized survival probability; longitudinal data (search for similar items in EconPapers)
Pages: 19 pages
Date: 2014-08
New Economics Papers: this item is included in nep-age, nep-hea and nep-ias
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.ub.edu/rfa/research/WP/UBriskcenterWP201407.pdf First version, 2014 (application/pdf)

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:bak:wpaper:201407

Access Statistics for this paper

More papers in Working Papers from Universitat de Barcelona, UB Riskcenter Contact information at EDIRC.
Bibliographic data for series maintained by Montserrat Guillen ().