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.
| Version: | 0.2.6 |
| Depends: | R (≥ 3.6.0) |
| Imports: | stats,rlang,foreach (≥ 1.4.7),matrixStats (≥ 0.63.0),CVXR (≥ 0.99-6),latex2exp (≥ 0.4.0),lpSolveAPI (≥5.5.2.0-17),Matrix (≥ 1.2-17),pracma (≥ 2.2.5),purrr (≥0.3.4),tibble (≥ 1.3.4),dplyr (≥ 0.7.4),ggplot2 (≥2.2.1),Rglpk (≥ 0.6-4),mvtnorm (≥ 1.1-3),TruncatedNormal (≥ 1.0) |
| Suggests: | knitr,testthat,haven,lfe,rmarkdown |
| Published: | 2024-07-14 |
| DOI: | 10.32614/CRAN.package.HonestDiD |
| Author: | Ashesh Rambachan [aut, cph, cre], Jonathan Roth [aut, cph] |
| Maintainer: | Ashesh Rambachan <ashesh.a.rambachan at gmail.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| CRAN checks: | HonestDiD results |