匹配法估计工作培训项目的平均处理效果

J4 ›› 2009, Vol. 44 ›› Issue (7): 44-48.

匹配法估计工作培训项目的平均处理效果

韩开山,刘宝芳

中北大学理学院, 山西太原 030051

收稿日期:2008-07-29 出版日期:2009-07-16 发布日期:2009-11-01
作者简介:韩开山(1978-)，男，助教，硕士，研究方向为应用统计. Email: hankaishan-54@163.com
基金资助:
国家自然科学基金资助项目(10372112)

Matching method estimate of the average treatment effect of
a job training program

HAN Kaishan， LIU Baofang

School of Science, North University of China, Taiyuan 030051， Shanxi， Chin

Received:2008-07-29 Online:2009-07-16 Published:2009-11-01

摘要/Abstract

摘要：

利用逐步回归和AIC信息准则估计倾向度,并且基于加权倾向度方法(weighting propensity score estimator, WPSE)和倾向度匹配方法(propensity score matching estimator, PSME),提出加权倾向度匹配方法(weighting propensity score matching estimator, WPSME)。并利用Bootstrap重复抽样方法对WPSE、PSME、WPSME 3种方法进行了模拟比较。由估计偏差和标准差,说明了WPSME较其他两种方法更为准确、有效。最后利用WPSME对工作培训项目的平均处理效果进行了估计。

关键词: 加权倾向度;匹配方法;平均处理效果

Abstract:

Step regression and AIC are applied to estimate the propensity score. Based on the weighting propensity score estimator(WPSE) and propensity score matching estimator(PSME), the weighting propensity score matching estimator(WPSME)is proposed. Then the three methods of WPSE、PSME、WPSME are compared by simulating using the bootstrap method. It is shown that WPSME is more precise and more efficient than the other methods in terms of bias and standard deviation. Finally, the average treatment effect of the job training program is estimated with WPSME.

Key words: weighting propensity score; matching method; average treatmen t effect

中图分类号:

O2127

. 匹配法估计工作培训项目的平均处理效果[J]. J4, 2009, 44(7): 44-48.

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