Identification of Treatment Effects under Conditional Partial Independence

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Date

29 juillet 2017

Type de document
Périmètre
Identifiant
  • 1707.09563
Collection

arXiv

Organisation

Cornell University




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Matthew A. Masten et al., « Identification of Treatment Effects under Conditional Partial Independence », arXiv - économie


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Résumé 0

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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