<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Difference-in-Differences with Unpoolable Data</dc:title>
  <dc:title>R package undidR version 3.0.2</dc:title>
  <dc:description>A framework for estimating difference-in-differences with
 unpoolable data, based on Karim, Webb, Austin, and Strumpf (2025)
 &lt;doi:10.48550/arXiv.2403.15910&gt;. 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)
 &lt;doi:10.1016/j.jeconom.2020.04.024&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0)</dc:relation>
  <dc:relation>Imports: graphics, grDevices, stats, utils</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Eric Jamieson &lt;ericbrucejamieson@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Eric Jamieson [aut, cre, cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=undidR/LICENSE)</dc:rights>
  <dc:date>2026-03-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=undidR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.undidR</dc:identifier>
</oai_dc:dc>
