An alternative approach for introducing instrumental variables based on ordinary least squares omitted variable bias

被引:0
|
作者
Keefer, Quinn A. W. [1 ,2 ]
机构
[1] Calif State Univ San Marcos, San Marcos, CA USA
[2] Calif State Univ San Marcos, Dept Econ, San Marcos, CA 92096 USA
来源
JOURNAL OF ECONOMIC EDUCATION | 2023年 / 54卷 / 01期
关键词
Econometrics; instrumental variables; omitted variable bias;
D O I
10.1080/00220485.2022.2144576
中图分类号
F [经济];
学科分类号
02 ;
摘要
An alternative approach for introducing instrumental variables in econometrics courses is presented in this article. The method is based on the ordinary least squares omitted variable bias formula. The intuition for the approach capitalizes on students' understanding and intuition of omitted variables. Thus, if students understand omitted variable bias, they can understand instrumental variables. Furthermore, using omitted variable bias to derive the instrumental variables estimator clearly highlights the critical assumptions of instrumental variables. The author illustrates the proposed method mathematically and discusses the intuition in both simple and multiple regression cases.
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页码:94 / 101
页数:8
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