| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5076935 | Insurance: Mathematics and Economics | 2012 | 12 Pages |
Abstract
⺠A semiparametric model is developed for more accurate estimation of medical costs. ⺠A dynamic change of health status via Markov transition is taken into account. ⺠A copula is used to model the relation between a sojourn and its associated cost. ⺠A multivariate local likelihood method is employed to estimate model parameters. ⺠The asymptotic properties of the estimators are established.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Xiaobing Zhao, Xian Zhou,