This blog post by Kyle Butts and Brant Callawa explores how to estimate subgroup-specific average treatment effects over time (ATT(g,t)) using the Callaway and Sant’Anna Difference-in-Differences framework, particularly with Brantly Callaway’s pte package. It provides a step-by-step guide to applying this method, focusing on customizing subgroup analyses and visualizing dynamic treatment effects.
