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undidR: Difference-in-Differences with Unpoolable Data

A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2024) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.

Version: 1.0.0
Depends: R (≥ 4.0)
Imports: graphics, grDevices, stats, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-01-23
DOI: 10.32614/CRAN.package.undidR
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson at gmail.com>
BugReports: https://github.com/ebjamieson97/undidR/issues
License: MIT + file LICENSE
URL: https://github.com/ebjamieson97/undidR, https://ebjamieson97.github.io/undidR/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: undidR results

Documentation:

Reference manual: undidR.pdf
Vignettes: undidR (source, R code)

Downloads:

Package source: undidR_1.0.0.tar.gz
Windows binaries: r-devel: undidR_1.0.0.zip, r-release: undidR_1.0.0.zip, r-oldrel: undidR_1.0.0.zip
macOS binaries: r-release (arm64): undidR_1.0.0.tgz, r-oldrel (arm64): undidR_1.0.0.tgz, r-release (x86_64): undidR_1.0.0.tgz, r-oldrel (x86_64): not available

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.