@tianzhuqin
Applied causal inference; I work on staggered DiD and robust inference.
2 workflows
Workflows
UnconfoundedSensitivity
An observational ATE you can defend (balance → estimate → sensitivity)
My checklist for an observational effect: match, prove balance with cobalt, estimate on the matched sample, then quantify hidden-confounding risk with sensemakr.
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DiD · panel
Staggered DiD done three ways (did · did2s · fixest)
My side-by-side for staggered adoption: Callaway–Sant'Anna vs Gardner's two-stage vs Sun–Abraham — do the event studies agree?
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