bprobSS: Internal Function
Description
It provides the log-likelihood, gradient and Fisher information matrix for penalized or unpenalized maximum likelihood optimization, in the presence of sample selection.References
Marra G. and Radice R., A Penalized Likelihood Estimation Approach to Semiparametric Sample Selection Binary Response Modelling. Submitted.