TESTING RESTRICTIONS IN NONPARAMETRIC EFFICIENCY MODELS
By Léopold Simar, Paul Wilson. 2001
120 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/af63340960f15f6c430fb2feaf6ac0006930e4f8
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
- Léopold Simar
- Paul Wilson
- Cinzia Daraio
- Anne Vanhems
- Kristof De Witte
- Tom Broekel
- Mika Kortelainen
- Abdelaati Daouia
In Management Science and Operations Research
- Léopold Simar
- Paul Wilson
- Cinzia Daraio
- Anne Vanhems
- Kristof De Witte
- Mika Kortelainen
- Timo Kuosmanen
- Abdelaati Daouia
In Statistics and Probability
- Paul Wilson
- Cinzia Daraio
- Léopold Simar
- Kevin A. Clarke
- Anne Vanhems
- Iain M. Johnstone
- Hoon Sohn
- Cindy H. Nakatsu
Citations in the corpus
- FEAR: A software package for frontier efficiency analysis with R (2008, methodology): “1 The statistical tests described by Simar and Wilson ([15], [16]) do not depend on dubious assumptions of distributions of efficiency scores.”
- Estimation and inference in two-stage, semi-parametric models of production processes (2007, methodology): “…operate at points in the interior of P, while those that are technically efficient operate somewhere along the technology defined by the boundary of P. 3Note that one can test whether a particular variable is an input, or an output, using the methods described in Simar and Wilson (2001a).”
- Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis (2004, unknown): “In addition, recent developments on testing the restrictions of the behavioural assumptions in non-parametric efficiency models like DEA, as suggested in Simar and Wilson (2001), could be promising directions for further research.”
- Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach (2007, methodology): “The implementation of the bootstrap should follow the lines of Simar and Wilson (2001, 2002).”
- Inference by the m out of n bootstrap in nonparametric frontier models (2011, methodology): “Simar and Wilson (1998, 2000a) proposed bootstrap methods for inference about efficiency based on DEA estimators in a multivariate framework, and Simar and Wilson (2001a, 2001b) proposed bootstrap methods for testing hypotheses about the structure of the underlying nonparametric model of…”