A stochastic frontier model with correction for sample selection

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Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps (2015, methodology): “As indicated above, we follow the approach of Greene (2010) and Bravo-Ureta et al. (2012) where the PSM and SPF approaches are combined in order to correct biases from both observed and unobserved characteristics.”
Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States (2010, unknown): “Greene (2008a) proposed the joint estimation of stochastic frontiers and the technology choice model with correlated errors.”
Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, methodology): “To deal with biases from unobserved variables (e.g., managerial ability) within an SPF formulation we use the model recently introduced by Greene (2010).”