The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 1.2.0 |
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: | 2024-10-07 |
DOI: | 10.32614/CRAN.package.DRDID |
Author: | Pedro H. C. Sant'Anna [aut, cre, cph], 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_1.2.0.tar.gz |
Windows binaries: | r-devel: DRDID_1.2.0.zip, r-release: DRDID_1.2.0.zip, r-oldrel: DRDID_1.2.0.zip |
macOS binaries: | r-release (arm64): DRDID_1.2.0.tgz, r-oldrel (arm64): DRDID_1.2.0.tgz, r-release (x86_64): DRDID_1.2.0.tgz, r-oldrel (x86_64): DRDID_1.2.0.tgz |
Old sources: | DRDID archive |
Reverse imports: | did |
Please use the canonical form https://CRAN.R-project.org/package=DRDID to link to this page.
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.