TU Darmstadt / ULB / TUprints

A Monte Carlo Study of Old and New Frontier Methods for Efficiency Measurement

Krüger, Jens :
A Monte Carlo Study of Old and New Frontier Methods for Efficiency Measurement.
In: Darmstadt Discussion Papers in Economics, 200. Darmstadt
[Report], (2011)

[img]
Preview
Text
ddpie_200.pdf
Available under Only rights of use according to UrhG.

Download (309kB) | Preview
Item Type: Report
Title: A Monte Carlo Study of Old and New Frontier Methods for Efficiency Measurement
Language: English
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.

Series Name: Darmstadt Discussion Papers in Economics
Volume: 200
Place of Publication: Darmstadt
Uncontrolled Keywords: Monte Carlo experiment, efficiency measurement, nonparametric stochastic methods
Classification DDC: 300 Sozialwissenschaften > 330 Wirtschaft
Divisions: 01 Law and Economics
01 Law and Economics > Volkswirtschaftliche Fachgebiete
01 Law and Economics > Volkswirtschaftliche Fachgebiete > Emprical Economics
Date Deposited: 07 Feb 2011 12:30
Last Modified: 26 Jan 2016 15:02
URN: urn:nbn:de:tuda-tuprints-47265
Additional Information:

C14, D24, C15

Additional Information:

C14, D24, C15

URI: http://tuprints.ulb.tu-darmstadt.de/id/eprint/4726
Export:
Actions (login required)
View Item View Item

Downloads

Downloads per month over past year