M-estimation is a widely used technique for statistical inference. In this paper, we study properties of ordinary and weighted M-estimators for semiparametric models, especially when there exist parameters that cannot be estimated at the √ n convergence rate. Results on consistency, rates of convergence for all parameters, and √ n consistency and asymptotic normality for the Euclidean parameter...