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...
Auteurs principaux: | de Luna Xavier, Johansson Per |
---|---|
Format: | Article |
Langue: | English |
Publié: |
De Gruyter
2014-09-01
|
Collection: | Journal of Causal Inference |
Sujets: | |
Accès en ligne: | https://doi.org/10.1515/jci-2013-0011 |
Documents similaires
-
Latent class instrumental variables and the monotonicity assumption
par: Stuart G. Baker
Publié: (2020-03-01) -
Estimating Stochastic Volatility under the Assumption of Stochastic Volatility of Volatility
par: Moawia Alghalith, et autres
Publié: (2020-04-01) -
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
par: Samuele Tosatto, et autres
Publié: (2020-12-01) -
Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar
par: Weber Ann M., et autres
Publié: (2015-03-01) -
An improved multiply robust estimator for the average treatment effect
par: Ce Wang, et autres
Publié: (2023-10-01)