Hi Kishore and Justin, The sample selection stuff has been separated from the micEcon package about one year ago. It is available in the sampleSelection package [1,2,3] now. The sample selection package is thoroughly described in a (freely available) paper published in the Journal of Statistical Software [4]. We recommend using the "selection" command rather than the "heckit" command, because the former can be used to estimate the model not only by the two-step method but also by ML.
[1] http://www.sampleselection.org/ [2] http://r-forge.r-project.org/projects/sampleselection/ [3] http://cran.r-project.org/web/packages/sampleSelection/index.html [4] http://www.jstatsoft.org/v27/i07 Best wishes, Arne On Tuesday 27 January 2009 06:02:46, justin bem wrote: > See the micEcon package. there is and heckit function >  Justin BEM > BP 1917 Yaoundé > Tél (237) 99597295 > (237) 22040246 > > > > > ________________________________ > De : Kishore <gladikish...@gmail.com> > à : r-help@r-project.org; r-h...@stat.math.ethz.ch > Envoyé le : Mardi, 27 Janvier 2009, 11h54mn 00s > Objet : [R] Need help on running Heckman Correction Estimation using R > > Team, > > I am trying to resolve the self-selection bias of a sample in an experiment > and would like to run the Heckman Correction Estimation using R. Can > someone help me with the R-Code... I tried searching for the discussion, > but not successful. Thanks in advance, > > Best, > > Kishore/.. > http://kaykayatisb.blogspot.com > >    [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html and provide commented, minimal, > self-contained, reproducible code. > > > > > [[alternative HTML version deleted]] -- Arne Henningsen http://www.arne-henningsen.name/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
