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Using the stochastic health state function to forecast healthcare demand and healthcare financing: Evidence from Singapore
Author(s) -
Chia Ngee Choon,
Loh Shu Peng
Publication year - 2018
Publication title -
review of development economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.531
H-Index - 50
eISSN - 1467-9361
pISSN - 1363-6669
DOI - 10.1111/rode.12528
Subject(s) - health care , actuarial science , population , state of health , population ageing , state (computer science) , health insurance , function (biology) , business , finance , economics , medicine , economic growth , computer science , environmental health , power (physics) , physics , battery (electricity) , quantum mechanics , algorithm , evolutionary biology , biology
Typically, healthcare financing for an ageing population requires projections on healthcare demand and cost. However, projecting healthcare demand based on projected elderly does not consider changes in population health state over time. This paper proposes a new approach to forecast health variables using a stochastic health state function and the well‐established Lee–Carter stochastic mortality model. With the estimated health state at each age over time, we project the hospitalization rate, healthcare demand, and financing cost for Singapore using historical life tables and hospital admission data. Our findings show that while hospital insurance claims increase owing to an aging population, improving health state could save costs from hospital insurance claims. This has policy implications: more attention should be given to preventive healthcare such as health screening to improve the overall health state of the population.