4 papers
Ranking Treatment Saturations under Clustered Network Interference
Seungjin Han, Julius Owusu, Youngki Shin
In this paper, we study how to rank a finite set of treatment saturations for a target population with clustered network interference. We propose an empirical success (ES) ranking…
Causal Identification under Interference: The Role of Treatment Assignment Independence
Julius Owusu, Monika Avila Márquez
Empirical researchers routinely invoke the no-interference or \textit{individualistic treatment response} (ITR) assumption to identify causal effects in observational studies, desp…
Randomization Inference of Heterogeneous Treatment Effects under Network Interference
Julius Owusu
We develop randomization-based tests for heterogeneous treatment effects in the presence of network interference. Leveraging the exposure mapping framework, we study a broad class…
A Nonparametric Test of Heterogeneous Treatment Effects under Interference
Julius Owusu
Statistical inference of heterogeneous treatment effects (HTEs) across predefined subgroups is challenging when units interact because treatment effects may vary by pre-treatment v…