Non-parametric tests of returns to scale

By Léopold Simar, Paul Wilson. European Journal of Operational Research, 2002

444 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e3c45fdae293be8a72c912b0561c53e6fd0c4ba8

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

1. Léopold Simar
2. Paul Wilson
3. Cinzia Daraio
4. Kristof De Witte
5. Wen‐Min Lu
6. Anne Vanhems
7. Tom Broekel
8. John S. Liu

In Finance

1. Léopold Simar
2. Cinzia Daraio
3. Paul Wilson
4. John S. Liu
5. Wen‐Min Lu
6. Louis Y. Y. Lu
7. B. J. Lin

In Management Science and Operations Research

1. Léopold Simar
2. Paul Wilson
3. Cinzia Daraio
4. Kristof De Witte
5. Wen‐Min Lu
6. Anne Vanhems
7. John S. Liu
8. Louis Y. Y. Lu

Citations in the corpus

• 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).”
• Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach (2005, methodology): “), we are in the presence of different groups of producers; in this situation, testing issues for comparing group efficiency scores can be proposed using appropriate bootstrap algorithms (in the spirit of Simar and Wilson, 2002).”
• 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).”
• Data envelopment analysis 1978-2010: A citation-based literature survey (2013, background): “SimarW2002 [51] discuss various statistics for testing the hypothesis regarding returns to scale.”