An improved and efficient estimation method for varying-coefficient model with missing covariates

For the coefficient functions of varying-coefficient models with missing covariates, we develop weighted quantile average estimation and obtain the optimal weights whose corresponding estimate approaches the Cramér–Rao lower bound under appropriate regularity conditions. Theoretical and simulation results show the good performance of our method.