HonestDiD
Robust Inference in Difference-in-Differences and Event Study Designs
Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.7 |
2026-04-09 windows/windows R-4.5 | HonestDiD_0.2.7.zip |
831.5 KiB |