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Identification of Treatment Effects Under Conditional Partial Independence
Author(s) -
Masten Matthew A.,
Poirier Alexandre
Publication year - 2018
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.3982/ecta14481
Subject(s) - identification (biology) , independence (probability theory) , conditional independence , econometrics , economics , mathematics , mathematical economics , psychology , statistics , biology , botany
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.

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