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CRAN: Package DRDID

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: 1.2.2 Depends: R (≥ 3.5) Imports: stats, trust, BMisc (≥ 1.4.1), Rcpp (≥ 1.0.12), fastglm (≥ 0.0.3) LinkingTo: Rcpp (≥ 1.0.12) Suggests: knitr, rmarkdown, spelling, testthat Published: 2025-05-30 DOI: 10.32614/CRAN.package.DRDID Author: Pedro H. C. Sant'Anna [aut, cre, cph], Jun Zhao [aut] Maintainer: Pedro H. C. Sant'Anna <pedrohcgs at gmail.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 Documentation: Downloads: Reverse dependencies: Linking:

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