Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: http://hdl.handle.net/10419/84882
Autoren: 
Krüger, Jens
Datum: 
2010
Reihe/Nr.: 
Darmstadt Discussion Papers in Economics 200
Zusammenfassung: 
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.
Schlagwörter: 
Monte Carlo experiment
efficiency measurement
nonparametric stochastic methods
JEL: 
C14
D24
C15
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
302.14 kB





Publikationen in EconStor sind urheberrechtlich geschützt.