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ssmrob (version 1.0)

ssmrob-package: Robust Estimation and Inference in Sample Selection Models

Description

Package provides a set of tools for robust estimation and inference for models with sample selectivity and endogenous treatment model.

Arguments

Details

Package: ssmrob
Type: Package
Version: 1.0
Date: 2021-08-18
License: GPL-2

References

Heckman, J.J. (1979) Sample Selection Bias as a Specification Error. Econometrica, 47, p. 153-161.

Zhelonkin, M., Genton M.G., and Ronchetti, E. (2016) Robust Inference in Sample Selection Models. Journal of the Royal Statistical Society, Series B, 78, p. 805-827. 10.1111/rssb.12136

Zhelonkin, M., Ronchetti, E. (2021) Robust Analysis of Sample Selection Models through the R Package ssmrob. Journal of Statistical Software, 99, 4, p. 1-35. 10.18637/jss.v099.i04

See Also

ssmrob, etregrob, heckitrob, heckit5rob, selection

Examples

Run this code
# NOT RUN {
# Zhelonkin, Genton, Ronchetti (2016): page 823
data(MEPS2001)
selectEq <- dambexp ~ age + female + educ + blhisp + totchr + ins
outcomeEq <- lnambx ~ age + female + educ + blhisp + totchr + ins
meps.fit <- ssmrob(selectEq, outcomeEq, data = MEPS2001, control = heckitrob.control(tcc = 3.2))
summary(meps.fit)
# }

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