双重差分模型介绍及其应用

被引:96
作者
叶芳
王燕
机构
[1] 北京大学公共卫生学院
关键词
结局变量; 观测值; 不同时点; 估计量; 差分; 干预组; 测定值; 衰分; 双重差分估计; 双重差分模型; 综列数据;
D O I
暂无
中图分类号
O212.1 [一般数理统计];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
<正>双重差分模型(difference-in-difference,DID)近年来多用于计量经济学中对于公共政策或项目实施效果的定量评估。通常大范围的公共政策有别于普通科研性研究,难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验(natural trial),此类试验存在较显著的特点,即不同组间样本在政策实施前可能存在事前差异,仅通过单一前后对比或横向对比的分析方法会忽略这种差异,继而导致对政策实施效果的有偏估计。DID模型正是基于自然试验得到的数据,通过建
引用
收藏
页码:131 / 134
页数:4
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