Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.