Testing for the Unconfoundedness Assumption Using an Instrumental Assumption

Testing for the Unconfoundedness Assumption Using an Instrumental Assumption

The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assum...

書目詳細資料
Main Authors:	de Luna Xavier, Johansson Per
格式:	Article
語言:	English
出版:	De Gruyter 2014-09-01
叢編:	Journal of Causal Inference
主題:	average treatment effect job practice nonparametric identification
在線閱讀:	https://doi.org/10.1515/jci-2013-0011

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