catviz: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs
Tools for constructing, labeling, and visualizing Causal Assignment Trees
(CATs) in settings with staggered adoption. Supports Callaway and Sant'Anna
difference-in-differences (CSDiD) and doubly robust difference-in-difference-differences
(DR-DDD) designs. The package helps clarify treatment timing, never-treated vs.
not-yet-treated composition, and subgroup structure, and produces publication-quality
diagrams and summary tables. Current functionality focuses on data-to-node mapping,
node counts, cohort-year summaries, and high-quality tree plots suitable for empirical
applications prior to estimation.
Methods are based on Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>,
Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>, and
Kilanko (2026) <https://github.com/VictorKilanko/catviz>.
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