triplediff
Triple-Difference Estimators
Implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | triplediff_0.2.0.tar.gz |
364.5 KiB |
0.2.0 |
rolling linux/noble R-4.5 | triplediff_0.2.0.tar.gz |
365.7 KiB |
0.2.0 |
rolling source/ R- | triplediff_0.2.0.tar.gz |
196.8 KiB |
0.2.0 |
latest linux/jammy R-4.5 | triplediff_0.2.0.tar.gz |
364.5 KiB |
0.2.0 |
latest linux/noble R-4.5 | triplediff_0.2.0.tar.gz |
365.7 KiB |
0.2.0 |
latest source/ R- | triplediff_0.2.0.tar.gz |
196.8 KiB |
0.2.0 |
2026-04-26 source/ R- | triplediff_0.2.0.tar.gz |
196.8 KiB |
0.2.0 |
2026-04-23 source/ R- | triplediff_0.2.0.tar.gz |
196.8 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | triplediff_0.2.0.zip |
722.9 KiB |