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stat.ME2026
A Test for Treatment Heterogeneity under a Distributional Difference-in-Difference Framework
Satarupa Bhattacharjee, Bing Li, Lingzhou Xue
We develop a novel distributional Difference-in-Differences (DiD) framework to capture treatment heterogeneity across outcome distributions. By leveraging optimal transport, we use…
stat.ME2025
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
Satarupa Bhattacharjee, Bing Li, Xiao Wu +1
Causal inference is central to statistics and scientific discovery, enabling researchers to identify cause-and-effect relationships beyond associations. While traditionally studied…