2 papers
stat.ME2025
Using causal diagrams to assess parallel trends in difference-in-differences studies
Audrey Renson, Oliver Dukes, Zach Shahn
Difference-in-differences (DID) is popular because it can allow for unmeasured confounding when the key assumption of parallel trends holds. However, there exists little guidance o…
stat.ME2024
Structural Nested Mean Models Under Parallel Trends with Interference
Zach Shahn, Paul Zivich, Audrey Renson
Despite the common occurrence of interference in Difference-in-Differences (DiD) applications, standard DiD methods rely on an assumption that interference is absent, and comparati…