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EquiTrends  

Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
View on CRAN: Click here


Download and install EquiTrends package within the R console
Install from CRAN:
install.packages("EquiTrends")

Install from Github:
library("remotes")
install_github("cran/EquiTrends")

Install by package version:
library("remotes")
install_version("EquiTrends", "1.0.0")



Attach the package and use:
library("EquiTrends")
Maintained by
Ties Bos
[Scholar Profile | Author Map]
First Published: 2024-09-03
Latest Update: 2024-09-03
Description:
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>.
How to cite:
Ties Bos (2024). EquiTrends: Equivalence Testing for Pre-Trends in Difference-in-Differences Designs. R package version 1.0.0, https://cran.r-project.org/web/packages/EquiTrends. Accessed 21 Feb. 2025.
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Complete documentation for EquiTrends
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Full EquiTrends package functions and examples
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