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...

Bibliografski detalji
Glavni autori:	de Luna Xavier, Johansson Per
Format:	Članak
Jezik:	English
Izdano:	De Gruyter 2014-09-01
Serija:	Journal of Causal Inference
Teme:	average treatment effect job practice nonparametric identification
Online pristup:	https://doi.org/10.1515/jci-2013-0011

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