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Health Transition Probability and Long-Term Care Cost Estimation

  • Xiaodong Cui
  • , Xuexiang Duan
  • , Ching Ter Chang*
  • , Shuhua Jiang
  • *Corresponding author for this work
  • Nanjing Xiaozhuang College
  • Chang Gung University
  • Chang Gung Memorial Hospital
  • Ming Chi University of Technology

Research output: Contribution to journalJournal Article peer-review

5 Scopus citations

Abstract

The cost of long-term care (LTC) is one of the huge financial risks faced by the elderly and also is a significant challenge to the social security system. This article establishes a piecewise constant Markov model to estimate the dynamic health transition probability and based on actuarial theory to calculate the long-term care cost, in contrast to the static or nontransferable state hypotheses in traditional models. Using the Chinese Longitudinal Healthy Longevity Survey, this article found that the average cost of LTC for the elderly varies greatly due to gender and health conditions, the cost for women may increase by up to 75% compared to that for men, and the cost for unhealthy elderly may more than double compared to that for healthy elderly. Furthermore, if LTC is included in the medical insurance system, in theory, women's average pay price will be more than twice that of men.

Original languageEnglish
Article number7980111
JournalMathematical Problems in Engineering
Volume2022
DOIs
StatePublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Xiaodong Cui et al.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty

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