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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Dettagli Bibliografici
Autori principali:	de Luna Xavier, Johansson Per
Natura:	Articolo
Lingua:	English
Pubblicazione:	De Gruyter 2014-09-01
Serie:	Journal of Causal Inference
Soggetti:	average treatment effect job practice nonparametric identification
Accesso online:	https://doi.org/10.1515/jci-2013-0011

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