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sampleSelection  

Sample Selection Models
View on CRAN: Click here


Download and install sampleSelection package within the R console
Install from CRAN:
install.packages("sampleSelection")

Install from Github:
library("remotes")
install_github("cran/sampleSelection")

Install by package version:
library("remotes")
install_version("sampleSelection", "1.2-12")



Attach the package and use:
library("sampleSelection")
Maintained by
Arne Henningsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-02-27
Latest Update: 2020-12-15
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).
How to cite:
Arne Henningsen (2008). sampleSelection: Sample Selection Models. R package version 1.2-12, https://cran.r-project.org/web/packages/sampleSelection. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.5-3 (2008-02-27 19:04), 0.5-5 (2008-06-05 23:19), 0.6-0 (2008-07-14 13:56), 0.6-1 (2008-07-18 09:38), 0.6-2 (2008-09-16 19:26), 0.6-4 (2009-01-26 09:53), 0.6-6 (2009-07-18 18:14), 0.6-8 (2009-10-16 16:05), 0.6-10 (2010-08-12 13:22), 0.6-12 (2011-11-13 10:12), 0.7-0 (2012-03-05 08:20), 0.7-2 (2012-08-14 15:59), 1.0-2 (2014-06-24 23:42), 1.0-4 (2015-11-03 11:59), 1.2-0 (2017-12-07 16:15), 1.2-2 (2019-02-19 13:30), 1.2-6 (2019-05-03 17:50), 1.2-10 (2020-11-04 15:40)
Other packages that cited sampleSelection R package
View sampleSelection citation profile
Other R packages that sampleSelection depends, imports, suggests or enhances
Complete documentation for sampleSelection
Functions, R codes and Examples using the sampleSelection R package
Some associated functions: Mroz87 . RandHIE . Smoke . binaryChoice . coef.selection . fitted.selection . heckit2fit . heckitVcov . invMillsRatio . linearPredictors . model.frame.binaryChoice . model.frame.selection . model.matrix.binaryChoice . model.matrix.selection . nlswork . predict.probit . predict.selection . probit-methods . residuals.probit . residuals.selection . sampleSelection-internal . selection-methods . selection . summary.probit . summary.selection . tobit2fit . vcov.selection . 
Some associated R codes: CB.R . binaryChoice.R . checkIMRCollinearity.R . checkModelType.R . coef.selection.R . coef.summary.selection.R . detectModelType.R . fitted.probit.R . fitted.selection.R . heckit.R . heckit2fit.R . heckit5fit.R . heckitTfit.R . heckitVcov.R . invMillsRatio.R . lambda.R . linearPredictors.R . logLik.probit.R . logLik.selection.R . model.frame.binaryChoice.R . model.frame.selection.R . model.matrix.binaryChoice.R . model.matrix.selection.R . nObs.R . predict.probit.R . predict.selection.R . print.coef.selection.R . print.probit.R . print.selection.R . print.summary.probit.R . probit.R . residuals.probit.R . residuals.selection.R . selection.R . selectionVariableName.R . summary.probit.R . summary.selection.R . tobit2Bfit.R . tobit2Intfit.R . tobit2fit.R . tobit5fit.R . tobitTfit.R . tobitType.R . treatReg.R . vcov.selection.R .  Full sampleSelection package functions and examples
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