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...
Egile Nagusiak: | de Luna Xavier, Johansson Per |
---|---|
Formatua: | Artikulua |
Hizkuntza: | English |
Argitaratua: |
De Gruyter
2014-09-01
|
Saila: | Journal of Causal Inference |
Gaiak: | |
Sarrera elektronikoa: | https://doi.org/10.1515/jci-2013-0011 |
Antzeko izenburuak
-
Latent class instrumental variables and the monotonicity assumption
nork: Stuart G. Baker
Argitaratua: (2020-03-01) -
Estimating Stochastic Volatility under the Assumption of Stochastic Volatility of Volatility
nork: Moawia Alghalith, et al.
Argitaratua: (2020-04-01) -
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
nork: Samuele Tosatto, et al.
Argitaratua: (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
nork: Weber Ann M., et al.
Argitaratua: (2015-03-01) -
An improved multiply robust estimator for the average treatment effect
nork: Ce Wang, et al.
Argitaratua: (2023-10-01)