This paper studies estimation and inference for linear quantile regression models with generated regressors. We suggest a practical two-step procedure, where the regressors are computed in first step. The asymptotic properties of estimator, namely, consistency normality established. show that variance-covariance matrix needs to be adjusted account first-step error. propose general estimator var...