Finite mixture modeling of censored regression models

@inproceedings{Karlsson2014FiniteMM,
title={Finite mixture modeling of censored regression models},
author={Maria Karlsson and Thomas Laitila},
year={2014}
}

A finite mixture of Tobit models is suggested for estimation of regression models with a censored response variable. A mixture of models is not primarily adapted due to a true component structure in the population; the flexibility of the mixture is suggested as a way of avoiding non-robust parametrically specified models. The new estimator has several interesting features. One is its potential to yield valid estimates in cases with a high degree of censoring. The estimator is in a Monte Carlo… CONTINUE READING