Identification of Treatment Effects under Conditional Partial Independence

Matthew Masten and Alexandre Poirier

Papers from arXiv.org

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.

Date: 2017-07
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Journal Article: Identification of Treatment Effects Under Conditional Partial Independence (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1707.09563

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