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HonestDiD  

Robust Inference in Difference-in-Differences and Event Study Designs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HonestDiD", "0.2.6")



Attach the package and use:
library("HonestDiD")
Maintained by
Ashesh Rambachan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-14
Latest Update: 2024-07-14
Description:
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.
How to cite:
Ashesh Rambachan (2024). HonestDiD: Robust Inference in Difference-in-Differences and Event Study Designs. R package version 0.2.6, https://cran.r-project.org/web/packages/HonestDiD. Accessed 23 Nov. 2024.
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