Scholars@Duke publication: Identification of Treatment Effects Under Conditional Partial Independence

Identification of Treatment Effects Under Conditional Partial Independence

Publication , Journal Article

Masten, MA; Poirier, A

Published in: Econometrica

January 2018

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.

Duke Scholars

Author Matthew A Masten Economics

Published In

Econometrica

Publication Date

January 2018

Volume

Issue

Start / End Page

317 / 351

Related Subject Headings

Econometrics
1403 Econometrics
1402 Applied Economics
1401 Economic Theory

Citation

APA

Chicago

ICMJE

MLA

NLM

Masten, M. A., & Poirier, A. (2018). Identification of Treatment Effects Under Conditional Partial Independence. Econometrica, 86(1), 317–351.

Masten, Matthew A., and Alexandre Poirier. “Identification of Treatment Effects Under Conditional Partial Independence.” Econometrica 86, no. 1 (January 2018): 317–51.

Masten MA, Poirier A. Identification of Treatment Effects Under Conditional Partial Independence. Econometrica. 2018 Jan;86(1):317–51.

Masten, Matthew A., and Alexandre Poirier. “Identification of Treatment Effects Under Conditional Partial Independence.” Econometrica, vol. 86, no. 1, Jan. 2018, pp. 317–51.

Masten MA, Poirier A. Identification of Treatment Effects Under Conditional Partial Independence. Econometrica. 2018 Jan;86(1):317–351.