DRDID: Doubly Robust Difference-in-Differences Estimators

Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.

Version: 1.0.7
Depends: R (≥ 3.5)
Imports: stats, trust, BMisc (≥ 1.4.1), Rcpp (≥ 1.0.12)
LinkingTo: Rcpp (≥ 1.0.12)
Suggests: knitr, rmarkdown, spelling, testthat
Published: 2024-07-05
DOI: 10.32614/CRAN.package.DRDID
Author: Pedro H. C. Sant'Anna [aut, cre], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedrosantanna at causal-solutions.com>
BugReports: https://github.com/pedrohcgs/DRDID/issues
License: GPL-3
URL: https://psantanna.com/DRDID/, https://github.com/pedrohcgs/DRDID
NeedsCompilation: yes
Language: en-US
Citation: DRDID citation info
Materials: README NEWS
In views: CausalInference, Econometrics
CRAN checks: DRDID results


Reference manual: DRDID.pdf


Package source: DRDID_1.0.7.tar.gz
Windows binaries: r-devel: DRDID_1.0.7.zip, r-release: DRDID_1.0.7.zip, r-oldrel: DRDID_1.0.7.zip
macOS binaries: r-release (arm64): DRDID_1.0.7.tgz, r-oldrel (arm64): DRDID_1.0.7.tgz, r-release (x86_64): DRDID_1.0.7.tgz, r-oldrel (x86_64): DRDID_1.0.7.tgz
Old sources: DRDID archive

Reverse dependencies:

Reverse imports: did


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