Hypothesis testing in nonparametric models of production using multiple sample splits
Year of publication: |
2020
|
---|---|
Authors: | Simar, Léopold ; Wilson, Paul W. |
Published in: |
Journal of productivity analysis : an official journal of the International Society for Efficiency and Productivity Analysis. - New York, NY : Springer Science+Business Media LLC, ISSN 1573-0441, ZDB-ID 1478730-1. - Vol. 53.2020, 3, p. 287-303
|
Subject: | DEA | FDH | Bootstrap | Inference | Hypothesis testing | Theorie | Theory | Bootstrap-Verfahren | Bootstrap approach | Data-Envelopment-Analyse | Data envelopment analysis | Statistischer Test | Statistical test | Nichtparametrisches Verfahren | Nonparametric statistics | Stichprobenerhebung | Sampling | Statistische Methodenlehre | Statistical theory | Technische Effizienz | Technical efficiency |
-
Testing hypotheses in nonparametric models of production
Kneip, Alois, (2016)
-
Asmild, Mette, (2019)
-
Bootstrap DEA and hypothesis testing
Tziogkidis, Panagiotis, (2012)
- More ...
-
Some problems with the Ferrier/Hirschberg bootstrap idea
Simar, Léopold, (1999)
-
Of course we can bootstrap DEA scores! But does it mean anything? Logic trumps wishful thinking
Simar, Léopold, (1999)
-
Statistical inference in nonparametric frontier models : the state of the art
Simar, Léopold, (2000)
- More ...