The paper introduces an estimator for the linear censored quantile regression model when the censoring point is an unknown function of a set of regressors. The objective function minimized is convex and the minimization problem is a linear programming problem, for which there is a global...

We develop a simulation based approach that can determine whether the semiparametric efficiency bound of a dynamic discrete choice model with fixed effects is zero or not. We illustrate the usefulness of our approach by considering a simplified version of Keane and Wolpin's (1997) model, where...