GMM estimation of stochastic frontier model with endogenous regressors

A convenient and simple GMM procedure for estimating stochastic frontier models in the presence of endogenous regressors is proposed. Monte Carlo simulations show that the proposed estimator works very well in finite samples. We apply the proposed method to panel data of Norwegian dairy farms to illustrate the usefulness of the proposed approach. (C) 2012 Elsevier B.V. All rights reserved.