A modeling framework for optimal long-term care insurance purchase decisions in retirement planning
2004
Health Care Manag Sci
2
7
105-17
Journal_Article
Insurance||Home_Care_Agencies
Dynamic_programming_Stochastic_decision_processes
NA
NA
NA
Article Link
Gupta, A. L., L. (2004). A modeling framework for optimal long-term care insurance purchase decisions in retirement planning. [Journal Article]. Health Care Manag Sci, 7(2), 105-117.
The level of need and costs of obtaining long-term care (LTC) during retired life require that planning for it is an integral part of retirement planning. In this paper, we divide retirement planning into two phases, pre-retirement and post-retirement. On the basis of four interrelated models for health evolution, wealth evolution, LTC insurance premium and coverage, and LTC cost structure, a framework for optimal LTC insurance purchase decisions in the pre-retirement phase is developed. Optimal decisions are obtained by developing a trade-off between post-retirement LTC costs and LTC insurance premiums and coverage. Two-way branching models are used to model stochastic health events and asset returns. The resulting optimization problem is formulated as a dynamic programming problem. We compare the optimal decision under two insurance purchase scenarios: one assumes that insurance is purchased for good and other assumes it may be purchased, relinquished and re-purchased. Sensitivity analysis is performed for the retirement age.