Forums for sampleSelection: Limited Dependent Vari.

View Forums

My Monitored Forums
Forum Description Threads Posts Last Post Moderation Level
 open-discussion General Discussion 15 59 2016-09-21 06:51 No Moderation
 help Get Public Help 18 82 2018-11-17 12:32 No Moderation
 developers Project Developer Discussion 9 20 2015-02-22 23:42 No Moderation
 mvprobit-released-on-cran I am happy to announce the initial release of the "mvProbit" package on CRAN (version 0.1-0). This package provides tools for econometric analysis with Multivariate Probit Models. While these models can be estimated also by several other statistical software packages (e.g. LIMDEP/NLOGIT, STATA), "mvProbit" is much more flexible and powerful in calculating marginal effects. To my best knowledge, "mvProbit" is the only statistical software package that can calculate various marginal effects including their standard errors at arbitrary user-defined values of the explanatory (and dependent) variables (e.g. at all observations or at the sample mean): marginal effects on the unconditional expectations of the dependent variables and marginal effects on the conditional expectations of each dependent variable at all possible combinations of the other dependent variables. Feedback is very welcome! /Arne 0 0 1970-01-01 00:00 No Moderation
 sampleselection-0.7-0-released This version includes a major extension, binary outcome selection models. It should still be considered as experimental. 0 0 1970-01-01 00:00 No Moderation
 mvprobit-used-in-research-paper We published the working paper, which was the reason for me to develop the R package "mvProbit": 0 0 1970-01-01 00:00 No Moderation
 package--stargazer--supports-sampleselection-models The R package 'stargazer' creates LaTeX code and ASCII text for well-formatted regression tables. It supports the most commonly used regression functions such as lm(), or glm() and its latest version (4.5) also supports objects from the binaryChoice(), heckit() and selection() functions :-) The 'stargazer' package is available on CRAN: 0 0 1970-01-01 00:00 No Moderation
 tutorial--using-r-for-agricultural-economics-research- Tutorial "Using R for Agricultural Economics Research" at the Congress of the European Association of Agricultural Economists (EAAE) in Ljubljana (Slovenia) on August 26, 2014. 0 0 1970-01-01 00:00 No Moderation
 sampleselection-1.0-released The recently released version of sampleSelection package has the version number 1.0, because we consider the package now to be mature and feature-complete. Compared to version 0.6 of the sampleSelection (which is described in an article in the Journal of Statistical Software [1]), the new version has, for instance, following new features: * estimation of binary-outcome selection models * probit models, tobit-2 models, and binary-outcome selection models can now be estimated with observation-specific weights * predict() methods for calculating unconditional and conditional expectations * improved/extended residuals() methods * logLik() methods * nobs() and nObs() methods * default df.residual() method works * removed the deprecated function tobit2() Any kind of feedback is--as always--very welcome! Best regards, Ott and Arne [1] 0 0 1970-01-01 00:00 No Moderation
Thanks to:
Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge