存在聚集现象的模型中内生性问题的修正

Correcting for Endogeneity in Models with Bunching

Journal of Business & Economic Statistics · 2023
被引 4
人大 AABS 4

中文导读

提出一种新的控制函数方法,用于处理处理变量在支撑集一角存在聚集时的内生性问题,该方法利用分布形状约束而不需要排除限制,并应用于电视观看对儿童认知和非认知技能的影响研究。

Abstract

We develop a novel control function approach in models where the treatment variable has bunching at one corner of its support. This situation typically arises when the treatment variable is a constrained choice and some observations choose the corner solution. The method exploits distributional shape restrictions but makes no exclusion restrictions. We provide estimators and establish their asymptotic behavior, prove the convergence of the bootstrap, and develop tests of the identification assumptions. An application reveals that watching television has no effect on cognitive skills and a negative effect on noncognitive skills in children.

内生性修正拐点聚集控制函数法识别假设检验