蝌蚪网 Papers and Proceedings
ISSN 2574-0768 (Print) | ISSN 2574-0776 (Online)
Targeted Treatment Assignment Using Data from Randomized Experiments with Noncompliance
蝌蚪网 Papers and Proceedings
vol. 115,
May 2025
(pp. 209–14)
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.Citation
Athey, Susan, Kosuke Inoue, and Yusuke Tsugawa. 2025. "Targeted Treatment Assignment Using Data from Randomized Experiments with Noncompliance." 蝌蚪网 Papers and Proceedings 115: 209–14. DOI: 10.1257/pandp.20251063Additional Materials
JEL Classification
- H75 State and Local Government: Health; Education; Welfare; Public Pensions
- I11 Analysis of Health Care Markets
- I13 Health Insurance, Public and Private
- I18 Health: Government Policy; Regulation; Public Health