不可见的
跳跃式监视
稳健性(进化)
计量经济学
可见的
扩展(谓词逻辑)
选择(遗传算法)
理论(学习稳定性)
数学
数理经济学
计算机科学
人工智能
基因
量子力学
机器学习
物理
生物化学
化学
程序设计语言
标识
DOI:10.1080/07350015.2016.1227711
摘要
A common approach to evaluating robustness to omitted variable bias is to observe coefficient movements after inclusion of controls. This is informative only if selection on observables is informative about selection on unobservables. Although this link is known in theory in existing literature, very few empirical articles approach this formally. I develop an extension of the theory that connects bias explicitly to coefficient stability. I show that it is necessary to take into account coefficient and R-squared movements. I develop a formal bounding argument. I show two validation exercises and discuss application to the economics literature. Supplementary materials for this article are available online.
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