<?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>Sample Selection Models</dc:title>
  <dc:title>R package sampleSelection version 1.2-14</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:subject>CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)</dc:subject>
  <dc:description>Two-step
   and maximum likelihood estimation
   of Heckman-type sample selection models:
   standard sample selection models (Tobit-2),
   endogenous switching regression models (Tobit-5),
   sample selection models with binary dependent outcome variable,
   interval regression with sample selection (only ML estimation),
   and endogenous treatment effects models.
   These methods are described in the three vignettes
   that are included in this package 
   and in econometric textbooks such as
   Greene (2011, Econometric Analysis, 7th edition, Pearson).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10), maxLik (&gt;= 0.7-3), stats</dc:relation>
  <dc:relation>Imports: miscTools (&gt;= 0.6-3), systemfit (&gt;= 1.0-0), Formula (&gt;=
1.1-1), VGAM (&gt;= 1.1-1), mvtnorm (&gt;= 0.9-9994)</dc:relation>
  <dc:relation>Suggests: lmtest, Ecdat</dc:relation>
  <dc:creator>Arne Henningsen &lt;arne.henningsen@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Arne Henningsen [aut, cre],
  Ott Toomet [aut],
  Sebastian Petersen [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-01-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sampleSelection</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sampleSelection</dc:identifier>
</oai_dc:dc>
