  We propose and study M-estimation to estimate the parameters in the censored
regression model in the presence of endogeneity, i.e., the Tobit model. In the
course of this study, we follow two-stage procedures: the first stage consists
of applying control function procedures to address the issue of endogeneity
using instrumental variables, and the second stage applies the M-estimation
technique to estimate the unknown parameters involved in the model. The large
sample properties of the proposed estimators are derived and analyzed. The
finite sample properties of the estimators are studied through Monte Carlo
simulation and a real data application related to women's labor force
participation.
