Estimation of the female labor supply models by Heckman's two-step estimator and the maximum likelihood estimator

被引：10
|
作者：
Nawata, K [1 ]
机构：
[1] Univ Tokyo, Grad Sch Engn, Dept Geosyst Engn, Bunkyo Ku, Tokyo 1138656, Japan
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2004年 / 64卷 / 3-4期
关键词：
female labor supply; sample selection bias; maximum likelihood estimator; Heckman's two-step estimator;
D O I：
10.1016/S0378-4754(03)00104-6
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The female labor supply models have been widely used in labor economics. The models are usually estimated by Heckman's two-step estimator. However, Heckman's two-step estimator often performs poorly. This paper considers an estimation of the models by the maximum likelihood method. An algorithm which makes calculation of the maximum likelihood estimator (MLE) possible is proposed. The finite sample properties are compared using Monte Carlo experiments. (C) 2003 IMACS. Published by Elsevier B.V. All rights reserved.
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页码：385 / 392
页数：8
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