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 gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://www.sampleSelection.org |
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: sampleSelection_1.2-2.zip, r-release: sampleSelection_1.2-2.zip, r-oldrel: sampleSelection_1.2-2.zip |
OS X binaries: | r-release: sampleSelection_1.2-2.tgz, r-oldrel: sampleSelection_1.2-2.tgz |
Old sources: | sampleSelection archive |
Reverse depends: | ssmrob |
Reverse imports: | localIV, miceMNAR |
Reverse suggests: | AER, BiProbitPartial, urbin |
Reverse enhances: | prediction, stargazer, texreg |
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