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...

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Dades bibliogràfiques
Autors principals:	de Luna Xavier, Johansson Per
Format:	Article
Idioma:	English
Publicat:	De Gruyter 2014-09-01
Col·lecció:	Journal of Causal Inference
Matèries:	average treatment effect job practice nonparametric identification
Accés en línia:	https://doi.org/10.1515/jci-2013-0011

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