摘要
在界定老年人失能状态的基础上,将多状态马尔可夫模型与ILO筹资模型相结合,构建了一个供需平衡下的社会型长期护理保险缴费模型。同时,对50岁及以上各年龄段人群的健康状态转移概率矩阵进行估计,结合人口数据估算和预测未来处于不同失能状态的人口数量;并对长沙市未来缴费人口和社会平均工资水平进行预测,估算了未来长沙市社会型长期护理保险缴费水平。
Based on the definition of disability status of the elderly,the multi-state Markov model and the ILO financing model are combined to construct a social long-term nursing insurance payment model under the balance of supply and demand.At the same time,the health state transition probability matrix of people aged 50 and above is estimated,and the population data are used to estimate and predict the future population in different disability states.The future contribution population and social average wage level of Changsha are forecasted and the level of payment of the social long-term nursing insurance of Changsha is estimated.
作者
张宁
王佳
李旷奇
ZHANG Ning;WANG Jia;LI Kuangqi(College of Finance and Statistics,Hunan University,Changsha,Hunan 410079,China)
出处
《财经理论与实践》
CSSCI
北大核心
2020年第5期28-35,共8页
The Theory and Practice of Finance and Economics
基金
国家社会科学基金重大项目(19ZDA158)
湖南省社会科学基金项目(18YBA454)
湖南省教育厅优秀青年项目(17B286)。
