Estimation of Seemingly Unrelated Tobit Regressions via the EM Algorithm
用EM算法估计两个因变量为截断正态分布的似不相关Tobit回归，并以人寿健康保险与养老金福利的决定为例说明。
An expectation-maximum (EM) likelihood algorithm is used to estimate two seemingly unrelated Tobit regressions in which the dependent variables are truncated normal. An illustrative example on the determination of the life-health insurance and pension benefits is also given.