Incorporating discrete choice experiments into long-term care insurance
policy decisions: Evidence from China
Abstract
Rapid population aging has prompted most emerging economies to consider
introducing long-term care insurance (LTCI) as part of a comprehensive
social health protection scheme. We examine discrete choice experiment
(DCE) evidence from LTCI and evaluate several relevant attributes,
including the elimination period, maximum monthly benefit, out-of-pocket
rate and annual premium. The study uses a mix logit model to elicit
respondents’ preferences and willingness to pay (WTP) for these
attributes of LTCI and uses physical health status to assess
heterogeneity in responses to insurance choice. We found that most
respondents would consider purchasing LTCI, with respondents most
preferring the following attributes: 1) a out-of-pocket rate of 25%, 2)
a maximum monthly benefit level of 2000 CNY (about 296 USD), and 3)
three months elimination period. The study can provide a reference for
further adjustments to the existing scheme, increasing residents’
willingness to participate in insurance and promoting the sustainable
development of long-term care insurance.