Econometrica Vol. 86 No. 1 2018
Identification of Treatment Effects Under Conditional Partial Independence
Abstract
Conditional independence of treatment assignment from potential outcomes is a commonly used but nonrefutable assumption. We derive identified sets for various treatment effect parameters under nonparametric deviations from this conditional independence assumption. These deviations are defined via a conditional treatment assignment probability, which makes it straightforward to interpret. Our results can be used to assess the robustness of empirical conclusions obtained under the baseline conditional independence assumption.
- DOI
- 10.3982/ecta14481
- Volume
- 86
- Issue
- 1
- Pages
- 317-351
- Language
- en
- Sources
- bibtex:phds-export.bib openalex crossref