Skip to content

The didet package provides tools for difference-in-differences estimation with general treatment patterns using the concept of effective treatment. See Yanagi (2023) https://arxiv.org/abs/2212.13226 .

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md
Notifications You must be signed in to change notification settings

tkhdyanagi/didet

Repository files navigation

didet: An Effective Treatment Approach to Difference-in-Differences with General Treatment Patterns

The didet package provides tools for differences-in-differences (DiD) estimation when the treatment variable of interest may be non-binary and its value may change in each time period. The package implements the doubly robust estimation of the average treatment effect for movers using the concept of effective treatment. For more details, see Yanagi (2023) “An effective treatment approach to difference-in-differences with general treatment patterns”.

Installation

Get the package from GitHub:

# install.packages("devtools") # if necessary
devtools::install_github("tkhdyanagi/didet", build_vignettes = TRUE)

Vignettes

See the package vignettes with:

library("didet")

# Getting Started with the didet Package
vignette("didet")

# Review of An Effective Treatment Approach to Difference-in-Differences with General Treatment Patterns
vignette("review", package = "didet")

References

  • Yanagi, T., 2023. An effective treatment approach to difference-in-differences with general treatment patterns. arXiv preprint arXiv:2212.13226. Link

About

The didet package provides tools for difference-in-differences estimation with general treatment patterns using the concept of effective treatment. See Yanagi (2023) https://arxiv.org/abs/2212.13226 .

Topics

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages