Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production
By Cinzia Daraio, Léopold Simar, Paul Wilson. 2018
227 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e33fa18fe9d69e92e869c49c8b0bdacab55858d4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
In Management Science and Operations Research
- Paul Wilson
- Léopold Simar
- Cinzia Daraio
- Anne Vanhems
- Timo Kuosmanen
- Mika Kortelainen
- Abdelaati Daouia
- António Afonso
In Statistics and Probability
- Paul Wilson
- Léopold Simar
- Cinzia Daraio
- Kevin A. Clarke
- Anne Vanhems
- Iain M. Johnstone
- Hoon Sohn
- Cindy H. Nakatsu
Citations in the corpus
- Hypothesis testing in nonparametric models of production using multiple sample splits (2020, background): “Simar (2007), Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach, Journal of Productivity Analysis 28, 13– 32. Daraio, C., L. Simar, and P. W. Wilson (2018), Central limit theorems for conditional efficiency measures and tests of the ‘separability co”