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stat.ME2026
Discussion of "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models"
Eli Ben-Michael, Avi Feller
Choi and Yuan (2025) propose a novel approach to applying matrix completion to the problem of estimating causal effects in panel data. The key insight is that even in the presence…
stat.ME2025
Partial identification via conditional linear programs: estimation and policy learning
Eli Ben-Michael
Many important quantities of interest are only partially identified from observable data: the data can limit them to a set of plausible values, but not uniquely determine them. Thi…