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...

Полное описание

Библиографические подробности
Главные авторы:	de Luna Xavier, Johansson Per
Формат:	Статья
Язык:	English
Опубликовано:	De Gruyter 2014-09-01
Серии:	Journal of Causal Inference
Предметы:	average treatment effect job practice nonparametric identification
Online-ссылка:	https://doi.org/10.1515/jci-2013-0011

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