GMM estimation of stochastic frontier model with endogenous regressors

► We consider a stochastic frontier model with endogenous regressors. ► A simple and convenient GMM estimator is proposed to estimate the model's parameters. ► Monte Carlo simulations indicate the proposed GMM estimator works well in finite samples. ► We apply the proposed method to an unbalanced panel data on Norwegian dairy farms.