Nonparametric stochastic frontiers: A local maximum likelihood approach

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Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints (2012, methodology): “Interestingly, Simar and Zelenyuk (2008) also apply DEA to the fitted values of the Kumbhakar et al. (2007) method in order to impose monotonicity and concavity.”
The joint estimation of bank-level market power and efficiency (2009, methodology): “The same strategy has been followed by Kumbhakar et al. (2007). so in fact LML estimation of the type proposed here can be described as an iterated SUR estimator in a properly weighted model (the weights are computed in advance).”
The Econometric Approach to Efficiency Analysis (2008, methodology): “The relevant log-likelihood for a random-effects model with a half-normal distribution has been derived by Lee and Tyler (1978) and Pitt and Lee (1981) and is discussed further by Battese and Coelli (1988).”
Public sector efficiency: leveling the playing field between OECD countries (2008, unknown): “For more on these issues, see Kumbhakar et al. (2007 ) a nd Kumbhakar and Tsionas (2005).”
Technical efficiency and conversion to organic farming: the case of France (2014, background): “Serra and Goodwin (2009), using the local maximum likelihood method introduced by Kumbhakar et al. (2007), find that (Spanish) organic farms have efficiency levels that are below conventional farms. Strictly speaking, the difference between average technical efficiencies between organic and conventi”