EquiTrends: Equivalence Testing for Pre-Trends in Difference-in-Differences
Designs
Testing for parallel trends is crucial in the Difference-in-Differences framework. To this end, this package performs equivalence testing in the context of Difference-in-Differences estimation. It allows users to test if pre-treatment trends in the treated group are “equivalent” to those in the control group. Here, “equivalence” means that rejection of the null hypothesis implies that a function of the pre-treatment placebo effects (maximum absolute, average or root mean squared value) does not exceed a pre-specified threshold below which trend differences are considered negligible. The package is based on the theory developed in Dette & Schumann (2024) <doi:10.1080/07350015.2024.2308121>.
Version: |
1.0.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
clubSandwich, nloptr, dplyr, rlang, plm, Rcpp (≥ 1.0.12), RcppParallel, stats, VGAM |
LinkingTo: |
Rcpp, RcppArmadillo, RcppParallel |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2024-09-03 |
DOI: |
10.32614/CRAN.package.EquiTrends |
Author: |
Ties Bos [aut, cre],
Martin Schumann [ctb] |
Maintainer: |
Ties Bos <tc.bos at student.maastrichtuniversity.nl> |
BugReports: |
https://github.com/TiesBos/EquiTrends/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/TiesBos/EquiTrends |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
EquiTrends results |
Documentation:
Downloads:
Linking:
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