A general methodology for bootstrapping in non-parametric frontier models

By Léopold Simar, Paul Wilson. 2000

1,248 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a299669eb79936d5b17c446e9c65cdb7aacade10

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In Economics and Econometrics

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Citations in the corpus

Estimation and inference in two-stage, semi-parametric models of production processes (2007, methodology): “For the case of the di, we have provided two approaches to inference, in Simar and Wilson (1998, 2000a).”
FEAR: A software package for frontier efficiency analysis with R (2008, methodology): “Similarly, none of the existing packages provide procedures for the newly-developed robust alternatives to DEA surveyed in Simar and Wilson (2005).”
Statistical inference for aggregates of Farrell-type efficiencies (2007, positive): “Simar and Wilson (1998, 2000a) suggested two variants of the smooth bootstrap: (i) the homogeneous bootstrap, and (ii) the heterogeneous bootstrap.”
Nonparametric Benchmarking of Japanese Water Utilities: Institutional and Environmental Factors Affecting Efficiency (2014, methodology): “Banker (1996) and Simar and Wilson (1998, 2000) have incorporated statistical properties into DEA analyses, introducing statistical inference into these analyses.”
TESTING RESTRICTIONS IN NONPARAMETRIC EFFICIENCY MODELS (2001, background): “Simar and Wilson 12-13 proposed bootstrap strategies for analyzing the sampling variation of efficiency measures.”
Technical efficiency and conversion to organic farming: the case of France (2014, methodology): “To correct for this problem, we use the smooth homogenous bootstrap proposed by Simar and Wilson (2000).”
Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings (2005, methodology): “…sampling variation of DEA-based efficiency estimators also can be constructed by recently developed bootstrap procedures introduced by Simar and Wilson (1999, 2000) who outline a smooth bootstrap procedure to examine the sensitivity of distance functions, and hence efficiency, to…”
Testing the accuracy of DEA for measuring efficiency in education under endogeneity (2009, background): “…it is a non-statistical approach, although the formal statistical foundation provided by Banker (1993) and Korostelev, Simar and Tsybakov (1995) and the bootstrap strategy proposed by Simar and Wilson (1998, 2000) for performing statistical inference have reduced the strength of this criticism.”
Cross-Country Efficiency of Secondary Education Provision: A Semi-Parametric Analysis with Non-Discretionary Inputs (2006, neutral): “4 See Ruggiero (2004) for a survey.”