Bibliographische Detailangaben
| Titel: |
Targeted Treatment Assignment Using Data from Randomized Experiments with Noncompliance. |
| Autoren: |
Athey, Susan1 (AUTHOR) athey@stanford.edu, Inoue, Kosuke2 (AUTHOR) inoue.kosuke.2j@kyoto-u.ac.jp, Tsugawa, Yusuke3 (AUTHOR) ytsugawa@mednet.ucla.edu |
| Quelle: |
AEA Papers & Proceedings. May2025, Vol. 115, p209-214. 6p. |
| Schlagwörter: |
*NONCOMPLIANCE, *STATISTICAL decision making, TREATMENT effectiveness, CLINICAL trials, ASSIGNMENT problems (Programming) |
| Abstract: |
This paper considers randomized experiments with noncompliance where individuals in the treatment group become eligible for a treatment but some do not receive it. We study the estimation and evaluation of treatment assignment policies targeted to individuals on the basis of pretreatment characteristics. We consider a decision problem where the policy determines eligibility, which is costly, and compliance continues to be imperfect. Then optimal policies prioritize by a weighted average of the intent-to-treat effect of eligibility on outcomes and the treatment effect of eligibility on receiving the treatment. We illustrate the ideas using data from the Oregon Health Insurance Experiment. [ABSTRACT FROM AUTHOR] |
|
Copyright of AEA Papers & Proceedings is the property of American Economic Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Datenbank: |
Business Source Index |
Nájsť tento článok vo Web of Science