Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach

By Cinzia Daraio, Léopold Simar. 2005

769 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c65462ca0e06e613e7c3bf97f6937081930d65a5

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Citations in the corpus

Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives (2013, methodology): “Daraio and Simar (2005) propose regressing the ratios θ̂(x,y | P̂FDH(z))/θ̂(x,y | P̂FDH) nonparametrically on the observed values z (e.”
Efficiency in education: a review of literature and a way forward (2017, positive): “Daraio and Simar (2005) suggest using robust conditional estimators (such as order-m frontiers and alpha-quantile approaches) to introduce and analyse the effects of environmental variables.”
Non-parametric, unconditional quantile estimation for efficiency analysis with an application to Federal Reserve check processing operations (2005, positive): “Both the “order-m” approach of Cazals et al. (2002) and the “order-α” approach of Daouia (2003), Aragon et al. (2005) and Daouia and Simar (2007) are based on the idea of estimating “partial frontiers” that lie close to the “full frontier” (i.e., the boundary of the production set).”
Unobserved heterogeneity and endogeneity in nonparametric frontier estimation (2016, background): “As explained above and suggested in the literature (see e.g., Daraio and Simar, 2005, 2007 or Bădin et al., 2012) we provide plots of the ratios of the conditional efficiency scores over the marginal ones, as a function of the heterogeneous variable.”
Fractional regression models for second stage DEA efficiency analyses (2010, background): “and Wilson (2007) for an extensive list of references to the use of this approach, Coelli, Rao, O’Donnell and Battese (2005) and Daraio and Simar (2005) for other approaches to incorporating the influence of efficiency factors into DEA analysis, andWang and Schmidt (2002) for an explanation of why, ”
Two-stage DEA: caveat emptor (2011, methodology): “If it is rejected, then the conditional efficiency measures described by Daraio and Simar (2005, 2006) are appropriate.”
Measuring efficiency in education: an analysis of different approaches for incorporating non-discretionary inputs (2008, background): “…analyses, consider non-controllable inputs (Zj) as 6 This analysis sets aside other methods which try to explain possible producer inefficiencies by the influence of ambiental or environmental variables such as the models of Charnes et al. (1981), Pastor (1994) or Daraio and Simar (2005).”
Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis (2015, methodology): “Following recent developments in nonparametric frontier literature (Cazals et al. 2002, Daraio and Simar 2005, Bădin et al. 2012) we suggest in this paper a more appropriate nonparametric two-step approach to investigate dynamic transmission mechanism through which environmental factors (FDI and…”
What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables (2013, methodology): “Daraio and Simar (2005) suggested to use the value of m for which the decrease in Conditional performance in Model 2 (without school dummies) 0.9647 1.1048 1.1872 1.2169 1.2982 2.0591 Bandwidth – Model 1 (with school indicators) Grade 0.0009 0.0576 0.1602 0.1215 0.1717 0.1959 Education of mother…”
Nonparametric Benchmarking of Japanese Water Utilities: Institutional and Environmental Factors Affecting Efficiency (2014, methodology): “This characteristic is very important because, in most situations, the environmental variables strongly influence the production process; not considering these variables in an efficiency analysis can lead to biased efficiency estimates (Daraio and Simar 2005).”
Nonparametric efficiency analysis: a multivariate conditional quantile approach (2007, methodology): “The paper is organized as follows: in the next section, we reformulate the concept of frontier and efficiency in a probabilistic framework, in the lines of Daraio and Simar (2006).”
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…”
Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, methodology): “In this study we will consider the use of ‘partial’ frontier techniques, such as the m-order frontiers (Cazals et al., 2002; Daraio and Simar, 2005) to obtain robust estimators for the local and global σ−μ efficiencies.”
On the comparative performance of socially responsible and Islamic mutual funds (2014, methodology): “On this respect, Daraio and Simar (2007, p.78) provide some rough guidance in some particular settings and, in a more recent paper, Daouia and Gijbels (2011) derive an algorithm to disentangle how the two classes of partial frontiers are related (under some particular circumstances) thereby helping ”
How to measure the impact of environmental factors in a nonparametric production model (2012, methodology): “…plugging the estimators ŜY ∣X and ŜY ∣X,Z in the expressions defining the partial efficiency scores: algorithms have been proposed in Cazals et al. (2002), Daraio and Simar (2005, 2007a) for the order-m case and in Daouia and Simar (2006) and Daraio and Simar (2007a) for the order- quantile case.”