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DRDID  

Doubly Robust Difference-in-Differences Estimators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DRDID", "1.2.0")



Attach the package and use:
library("DRDID")
Maintained by
Pedro H. C. Sant'Anna
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-18
Latest Update: 2023-05-18
Description:
Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) . 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.
How to cite:
Pedro H. C. Sant'Anna (2020). DRDID: Doubly Robust Difference-in-Differences Estimators. R package version 1.2.0, https://cran.r-project.org/web/packages/DRDID. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2020-05-18 16:50), 1.0.1 (2021-01-07 22:30), 1.0.3 (2021-11-13 08:40), 1.0.4 (2022-07-19 23:40), 1.0.6 (2023-05-18 19:50), 1.0.7 (2024-07-06 00:00), 1.1.0 (2024-09-05 09:50)
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