Estimation of a Duration Model in the Presence of Missing Data
提出一种两阶段估计方法，先用模拟技术估计缺失变量的联合分布，再将其整合到模型中，从而在教师离职的持续期模型中纳入部分缺失的工资和学校特征变量。
This paper utilizes recent simulation techniques in a two-stage estimation method which is applicable for a wide range of statistical models in the presence of missing data. The first stage of the method provides a way to estimate (and simulate from) the joint distribution of missing variables when the missing variables are continuous, binary, or ordered discrete. The second stage uses the first-stage estimates to “integrate” out the effects of the missing variables and obtain model estimates. The implementation of the method in this paper allows theoretically important, partially missing wage and school characteristic variables-which are not necessarily independently determined-to be included in a proportional hazard model of teacher attrition. © 1999 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology