Non Parametric Efficiency Measurement
Bruce Hollingsworth
Economic Journal, 2004, vol. 114, issue 496, F307-F311
Abstract:
Efficiency measurement using non parametric methods is increasing rapidly. One important initial step in measuring efficiency is deciding which software package to make use of. Here Data Envelopment Analysis (DEA) efficiency packages are reviewed, including those which undertake Malmquist productivity analysis. While most packages are commercially available, the one which is not a commercial product has an obvious initial advantage. Copyright 2004 Royal Economic Society.
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (12)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecj:econjl:v:114:y:2004:i:496:p:f307-f311
Ordering information: This journal article can be ordered from
http://www.blackwell ... al.asp?ref=0013-0133
Access Statistics for this article
Economic Journal is currently edited by Martin Cripps, Steve Machin, Woulter den Haan, Andrea Galeotti, Rachel Griffith and Frederic Vermeulen
More articles in Economic Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().