Randomized trial demonstrates improved comparability of treatment effects in compositional data, highlighting the method's usefulness.
Key Points
This research aims to enhance the estimation of treatment effects on proportions by jointly analyzing multiple compositional outcomes using synthetic controls.
Developed a new approach to jointly estimate synthetic controls for multiple proportions.
Utilized the same weights for compositions to improve the control comparison and adhere to treatment effect constraints.
Illustrated the approach through simulations and real-world empirical studies.
Demonstrated improved comparability of treatment effects across compositional outcomes.
Validated the method's effectiveness through simulations showing clearer causal inferences.
Highlighted the applicability of joint estimation in political science data analysis.