Nonparametric frontier estimation: a robust approach

By Catherine Cazals, Jean-Pierre Florens, Léopold Simar. 2002

1,117 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/6b6c6783d387c7454b84cb5e35b6cd1e6874a5b1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Management Science and Operations Research

Citations in the corpus

Nonparametric efficiency analysis: a multivariate conditional quantile approach (2007, methodology): “Inspired from Cazals et al. (2002), Daraio and Simar (2006) introduce the concepts of conditional efficiency measure and of partial conditional efficiency measure of discrete order mX1.”
Measuring Eco‐efficiency of Production with Data Envelopment Analysis (2005, methodology): “More sophisticated tools for robustness analysis are also available (see, e.g., Cazals et al. 2002).”
Do Cooperative Research and Development (R&D) Subsidies Stimulate Regional Innovation Efficiency? Evidence from Germany (2015, methodology): “…practice, this means computing the non-convex order-m efficiency measure l̂m(x0, y0), which can be done with a Monte Carlo algorithm, as proposed by CAZALS et al. (2002): l̂m(x0, y0) = E[l̃m(x0, y0) X| ≤ x0] = 1 B ∑B b=1 l̃ b m(x0, y0) (1) where l̃m(x0, y0) is calculated using: l̃m(x0, y0) = max…”
Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production (2018, neutral): “D ow nloaded from https://academ ic.oup.com /ectj/article-abstract/21/2/170/5078970 by guest on 15 M arch 2020 introduced by Cazals et al. (2002) and Daraio and Simar (2005), where HXY|Z(x, y | z) = Pr(X ≤ x, Y ≥ y | Z = z) is the probability of finding a firm dominating the production unit…”
Unobserved heterogeneity and endogeneity in nonparametric frontier estimation (2016, background): “Robust alternatives have been proposed in Cazals et al. (2002), Aragon et al. (2005) and Daouia and Simar (2007) using partial frontiers (order-m and order-α quantile frontiers).”
Efficiency in education: a review of literature and a way forward (2017, positive): “Some suggested methodologies as orderm (from Cazals et al, 2002; Daraio and Simar, 2005, 2007a, b) or order-alpha (from Daraio and Simar, 2006; Daouia and 353 4 Journal of the Operational Research Society Vol. 68, No. 4 Simar, 2007) mitigate the influence of measurement errors by resampling the…”
Robust nonparametric estimators of monotone boundaries (2005, background): “[3], respectively, due to the average in the definition of the # operator.”
How to improve the performances of DEA/FDH estimators in the presence of noise? (2007, neutral): “Cazals, Florens, Simar (2002) have developed a robust version of DEA/FDH based on a concept of order-m frontier and propose a “trimmed” frontier estimator which does not envelop all the data points ( m is the trimming parameter).”
Detecting Outliers in Frontier Models: A Simple Approach (2003, methodology): “We draw X i independent uniforms on (1, 2) and Ỹ j i independent uniform on (0.”
What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables (2013, methodology): “Importantly, Cazals et al. (2002) showed that the convergence rate of the estimator b m,nðx, y jzÞ depends on the dimension of Z, being (nh) , where r1⁄4 dim(Z).”