On FDH efficiency analysis: Some methodological issues and applications to retail banking, courts, and urban transit
Henry Tulkens
Journal of Productivity Analysis, 1993, vol. 4, issue 1, 183-210
Abstract:
The methodology of free disposal hull (FDH) measure of productive efficiency is defined and put in perspectivevis-à-vis other nonparametric techniques, in terms of the postulates on which they respectively rest. Computational issues are also considered, in relation to the linear programming techniques used in DEA. The first application bears on a comparison between a private and a public bank, in terms of the relative efficiency of their branches. Important characteristics of the data are revealed by FDH that are not by DEA, due to a better data fit. Next, efficiency estimates of judicial activities are used to evaluate what part of the existing backlog could be reduced by efficiency increases. Finally, with monthly data of an urban transit firm over 12 years, the FDH methodology is extended to a sequential treatment of time series, that supplements efficiency estimation with a measure of technical progress. Copyright Kluwer Academic Publishers 1993
Date: 1993
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (262)
Downloads: (external link)
http://hdl.handle.net/10.1007/BF01073473 (text/html)
Access to full text is restricted to subscribers.
Related works:
Chapter: On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts and Urban Transit (2006)
Working Paper: On FDH efficiency analysis: some methodological issues and applications to retail banking, courts, and urban transit (1993)
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:kap:jproda:v:4:y:1993:i:1:p:183-210
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/BF01073473
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().