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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>.
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Package details |
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| Author | Marcelo Ortiz-Villavicencio [aut, cre], Pedro H. C. Sant'Anna [aut] |
| Maintainer | Marcelo Ortiz-Villavicencio <marcelo.ortiz@emory.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | http://marcelortiz.com/triplediff/ |
| Package repository | View on CRAN |
| Installation |
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