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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.
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Package details |
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| Author | Ashesh Rambachan [aut, cph, cre], Jonathan Roth [aut, cph] |
| Maintainer | Ashesh Rambachan <ashesh.a.rambachan@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.6 |
| Package repository | View on CRAN |
| Installation |
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