Parametric approximations of nonparametric frontiers

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Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints (2012, methodology): “As Caudill and Ford (1993) and Florens and Simar (2005) demonstrate, violation of the homoskedasticity assumption leads to potentially serious problems in the context of parametric frontier estimation.”
Nonparametric efficiency analysis: a multivariate conditional quantile approach (2007, methodology): “We will compare the estimators with two simulated data sets used in Florens and Simar (2005) and one proposed in Simar (2003).”
Probabilistic characterization of directional distances and their robust versions (2012, background): “Note that here, as explained in Florens and Simar (2005), the naive bootstrap can be used because we are not estimating a boundary.”
Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach (2007, background): “Florens and Simar (2005) give some bivariate examples (p = q = 1) where the order-m frontier can be analytically computed and where Ψ and Ψm are both convex.”
Robustness and inference in nonparametric partial frontier modeling (2011, background): “Note that the functional convergence of the process {√n(ξ̂m,n(x) − ξm(x)), x ∈ X} in Proposition 4.1(ii) provides the consistency and asymptotic distribution of parametric approximations of the order-m frontiers, as shown in Florens and Simar (2005).”