<?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>Categorical Instrumental Variables</dc:title>
  <dc:title>R package civ version 0.1.0</dc:title>
  <dc:description>Implementation of the categorical instrumental variable (CIV) 
    estimator proposed by Wiemann (2023) &lt;arXiv:2311.17021&gt;. CIV allows for optimal instrumental 
    variable estimation in settings with relatively few observations per 
    category. To obtain valid inference in these challenging settings, CIV
    leverages a regularization assumption that implies existence of a latent 
    categorical variable with fixed finite support achieving the same first 
    stage fit as the observed instrument.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6)</dc:relation>
  <dc:relation>Imports: stats, AER, kcmeans</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), covr, knitr, rmarkdown</dc:relation>
  <dc:creator>Thomas Wiemann &lt;wiemann@uchicago.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Thomas Wiemann [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-12-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=civ</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.civ</dc:identifier>
</oai_dc:dc>
