Battese-coelli estimator with endogenous regressors

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We provide a framework for dealing with the endogeneity problem in the Battese-Coelli estimator for productive efficiency measurement.

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Handling Endogeneity in Stochastic Frontier Analysis (2015, unknown): “The applicability and implications of our model is much more comprehensive than that of Kutlu (2010) who proposes a model that enables estimation of efficiency when some of the regressors are correlated with the term.2 He does not provide a solution for a potential correlation between and terms.”
Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms (2017, background): “Most of the authors that have dealt with endogeneity issues in stochastic frontier models, along the lines of Kutlu (2010), consider fully parametric models and estimators based on likelihood functions (see, e.g., Tran and Tsionas, 2013; Amsler, Prokhorov, and Schmidt 2016; Dong et al. 2016;…”
Some models for stochastic frontiers with endogeneity (2016, methodology): “However, in a number of studies (e.g., Kutlu 2010, Karakaplan and Kutlu 2013, Tran and Tsionas 2013) allowance is made for correlations between idiosyncratic error terms and the inputs.”
Endogenous Environmental Variables In Stochastic Frontier Models (2017, methodology): “The first stochastic frontier papers with endogeneity appear to be Kutlu (2010) and Tran and Tsionas (2013).”
Endogeneity in Stochastic Frontier Models (2016, methodology): “Alternatively, as suggested by Kutlu (2010), we can use a two-step procedure.”