sampleSelection: Sample Selection Models

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.

Version: 1.2-2
Depends: R (≥ 2.10), maxLik (≥ 0.7-3), stats
Imports: miscTools (≥ 0.6-3), systemfit (≥ 1.0-0), Formula (≥ 1.1-1), VGAM (≥ 0.9-4), mvtnorm (≥ 0.9-9994)
Suggests: lmtest, Ecdat
Published: 2019-02-19
Author: Arne Henningsen [aut, cre], Ott Toomet [aut], Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: sampleSelection citation info
Materials: NEWS
In views: Econometrics
CRAN checks: sampleSelection results


Reference manual: sampleSelection.pdf
Vignettes: Interval Regression with Sample Selection
Sample Selection Models
Using treatReg
Package source: sampleSelection_1.2-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: sampleSelection_1.2-2.tgz, r-oldrel: sampleSelection_1.2-2.tgz
Old sources: sampleSelection archive

Reverse dependencies:

Reverse depends: ssmrob
Reverse imports: localIV, miceMNAR
Reverse suggests: AER, BiProbitPartial, urbin
Reverse enhances: prediction, stargazer, texreg


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