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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>.
Getting started
Browse package contents
Package details |
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| Author | Eric Jamieson [aut, cre, cph] |
| Maintainer | Eric Jamieson <ericbrucejamieson@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| URL | https://github.com/ebjamieson97/undidR https://ebjamieson97.github.io/undidR/ |
| Package repository | View on CRAN |
| Installation |
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