A new method called ldvqreg has been developed to estimate quantile regression models for cases where data is censored or binary. This method uses a smoothed version of the quantile regression objective function. Simulation exercises show that it accurately estimates parameters and should be used when dealing with censoring in data. An example of its application to women's labor supply in Uruguay is also provided.