Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/84882
Authors: 
Krüger, Jens
Year of Publication: 
2010
Series/Report no.: 
Darmstadt Discussion Papers in Economics 200
Abstract: 
This study presents the results of an extensive Monte Carlo experiment to compare different methods of efficiency analysis. In addition to traditional parametric-stochastic and nonparametric-deterministic methods recently developed robust nonparametric-stochastic methods are considered. The experimental design comprises a wide variety of situations with different returns-to-scale regimes, substitution elasticities and outlying observations. As the results show, the new robust nonparametric-stochastic methods should not be used without cross-checking by other methods like stochastic frontier analysis or data envelopment analysis. These latter methods appear quite robust in the experiments.
Subjects: 
Monte Carlo experiment
efficiency measurement
nonparametric stochastic methods
JEL: 
C14
D24
C15
Document Type: 
Working Paper

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