Before revision: We study a closed-form maximum likelihood estimator of stochastic frontier models with endogeneity in cross-section data when both error components may be correlated with inputs and environmental variables.
After revision: We propose and study a maximum likelihood estimator of stochastic frontier models with endogeneity in cross-section data when both error components may be correlated with inputs and environmental variables.