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Advice on using heteroskedasticity-based identification
The Stata Journal: Promoting communications on statistics and Stata ( IF 3.2 ) Pub Date : 2019-12-18 , DOI: 10.1177/1536867x19893614
Christopher F. Baum 1 , Arthur Lewbel 1
Affiliation  

Lewbel (2012, Journal of Business and Economic Statistics 30: 67–80) provides a heteroskedasticity-based estimator for linear regression models containing an endogenous regressor when no external instruments or other such information is available. The estimator is implemented in the command ivreg2h by Baum and Schaffer (2012, Statistical Software Components S457555, Department of Economics, Boston College). In this article, we give advice and instructions to researchers who want to use this estimator.



中文翻译:

有关使用基于异方差的识别的建议

当没有外部工具或其他此类信息可用时,Lewbel(2012,《商业与经济统计杂志》 30:67–80)为包含内生回归变量的线性回归模型提供了基于异方差性的估计器。估计器由Baum和Schaffer在指令ivreg2h中实现(2012年,波士顿学院经济系,统计软件组件S457555)。在本文中,我们向想要使用此估计量的研究人员提供建议和指导。

更新日期:2019-12-18
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