کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
478382 | 1446071 | 2012 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A Monte Carlo study of old and new frontier methods for efficiency measurement A Monte Carlo study of old and new frontier methods for efficiency measurement](/preview/png/478382.png)
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.
► Monte Carlo study comparing new nonparametric stochastic methods of efficiency measurement with more traditional ones.
► Several scenarios explored.
► Finding that the new methods are associated with substantial noise.
Journal: European Journal of Operational Research - Volume 222, Issue 1, 1 October 2012, Pages 137–148