Package: undidR 1.0.0

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:Eric Jamieson [aut, cre, cph]

undidR_1.0.0.tar.gz
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undidR.pdf |undidR.html✨
undidR/json (API)
NEWS

# Install 'undidR' in R:
install.packages('undidR', repos = c('https://ebjamieson97.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ebjamieson97/undidr/issues

Pkgdown site:https://ebjamieson97.github.io

Datasets:

On CRAN:

4.30 score 6 exports 0 dependencies

Last updated 13 hours agofrom:0392535c5f. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-winOKJan 24 2025
R-4.5-linuxOKJan 24 2025
R-4.4-winOKJan 24 2025
R-4.4-macOKJan 24 2025
R-4.3-winOKJan 24 2025
R-4.3-macOKJan 24 2025

Exports:create_diff_dfcreate_init_csvplot_parallel_trendsundid_date_formatsundid_stage_threeundid_stage_two

Dependencies:

undidR

Rendered fromundidR.Rmdusingknitr::rmarkdownon Jan 24 2025.

Last update: 2025-01-21
Started: 2025-01-21