Estimation of growth convergence using a stochastic production frontier approach

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A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (2015, methodology): “6As previously noted, we evaluate log jIN W j using a vector of values for , which LeSage and Pace (2009) refer to as the vectorized approach.”
Handling Endogeneity in Stochastic Frontier Analysis (2015, unknown): “In the base scenario of their simulations, Kumbhakar and Wang (2005) pick � �⁄ = . and � + � = .”
Assessing the relationships between human capital, innovation and technology adoption: Evidence from sub-Saharan Africa (2017, background): “Explained in the context of production possibilities frontier, TFP growth can be decomposed into two mutually exclusive and exhaustive components; innovation (technical change) and adoption of technology (efficiency change) (see Färe et al., 1994; Lovell, 1996; Kumbhakar and Wang, 2005).”
Technical efficiency in competing panel data models: a study of Norwegian grain farming (2014, methodology): “If all the -parameters are zero, then the model reduces to the one considered by Pitt and Lee (1981), Schmidt and Sickles (1984), Kumbhakar”