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 |
|---|---|---|---|
0.2.8 |
rolling linux/jammy R-4.5 | HonestDiD_0.2.8.tar.gz |
824.6 KiB |
0.2.8 |
rolling linux/noble R-4.5 | HonestDiD_0.2.8.tar.gz |
824.7 KiB |
0.2.8 |
rolling source/ R- | HonestDiD_0.2.8.tar.gz |
589.8 KiB |
0.2.8 |
latest linux/jammy R-4.5 | HonestDiD_0.2.8.tar.gz |
824.6 KiB |
0.2.8 |
latest linux/noble R-4.5 | HonestDiD_0.2.8.tar.gz |
824.7 KiB |
0.2.8 |
latest source/ R- | HonestDiD_0.2.8.tar.gz |
589.8 KiB |
0.2.8 |
2026-04-26 source/ R- | HonestDiD_0.2.8.tar.gz |
589.8 KiB |
0.2.8 |
2026-04-23 source/ R- | HonestDiD_0.2.8.tar.gz |
589.8 KiB |
0.2.7 |
2026-04-09 windows/windows R-4.5 | HonestDiD_0.2.7.zip |
831.5 KiB |
0.2.6 |
2025-04-20 source/ R- | HonestDiD_0.2.6.tar.gz |
586.0 KiB |