Advanced Search
MyIDEAS: Login to save this paper or follow this series

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

Contents:

Author Info

  • Krüger, Jens

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.download.tu-darmstadt.de/wi/vwl/ddpie/ddpie_200.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL) in its series Darmstadt Discussion Papers in Economics with number 48892.

as in new window
Length:
Date of creation: Feb 2011
Date of revision:
Publication status: Published in Darmstadt Discussion Papers in Economics . 200 (2011-02)
Handle: RePEc:dar:ddpeco:48892

Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/48892/
Contact details of provider:
Postal: Hochschulstr. 1, 64289 Darmstadt
Phone: ++49 (0)6151 16-2701
Fax: ++49 (0)6151 16-6508
Email:
Web page: http://www.wi.tu-darmstadt.de/fachgebiete/fachgebiete_4/volkswirtschaftlichefachgebiete.de.jsp
More information through EDIRC

Related research

Keywords: Monte Carlo experiment; efficiency measurement; nonparametric stochastic methods;

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Johannes Van Biesebroeck, 2007. "ROBUSTNESS OF PRODUCTIVITY ESTIMATES -super-* ," Journal of Industrial Economics, Wiley Blackwell, vol. 55(3), pages 529-569, 09.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:dar:ddpeco:48892. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dekanatssekretariat).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.