ESTIMATING A GENERALIZED CENSORED REGRESSION-MODEL - A NEW METHOD

被引:0
|
作者
IZADI, HS
机构
[1] University of Lancaster, Lancaster
关键词
D O I
10.1016/0165-1765(92)90094-F
中图分类号
F [经济];
学科分类号
02 ;
摘要
This letter describes, with the aid of an empirical illustration, a new estimation method for censored regression models, based on the assumption that the error term belongs to the Pearson system of distributions.
引用
收藏
页码:19 / 22
页数:4
相关论文
共 50 条