Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Pedro H. C. Sant'Anna [aut, cre], Jun Zhao [aut] |
| Maintainer | Pedro H. C. Sant'Anna <pedrosantanna@causal-solutions.com> |
| License | GPL-3 |
| Version | 1.0.6 |
| URL | https://psantanna.com/DRDID/ https://github.com/pedrohcgs/DRDID |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the DRDID package in your browser
Any scripts or data that you put into this service are public.
