Package: undidR 1.0.0
Eric Jamieson
undidR: Difference-in-Differences with Unpoolable Data
A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2024) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
Authors:
undidR_1.0.0.tar.gz
undidR_1.0.0.tar.gz(r-4.5-noble)undidR_1.0.0.tar.gz(r-4.4-noble)
undidR_1.0.0.tgz(r-4.4-emscripten)undidR_1.0.0.tgz(r-4.3-emscripten)
undidR.pdf |undidR.html✨
undidR/json (API)
NEWS
| # Install 'undidR' in R: |
| install.packages('undidR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ebjamieson97/undidr/issues
Pkgdown site:https://ebjamieson97.github.io
- silo71 - Example merit data
Last updated 14 hours agofrom:1838f44483. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 24 2025 |
| R-4.5-linux | OK | Jan 24 2025 |
Exports:create_diff_dfcreate_init_csvplot_parallel_trendsundid_date_formatsundid_stage_threeundid_stage_two
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Creates the 'empty_diff_df.csv' | create_diff_df |
| Creates the 'init.csv' | create_init_csv |
| Plots parallel trends figures | plot_parallel_trends |
| Example merit data | silo71 |
| Shows valid date formats | undid_date_formats |
| Computes UNDID results | undid_stage_three |
| Runs UNDID stage two procedures | undid_stage_two |
