On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts and Urban Transit
Henry Tulkens
Chapter Chapter 14 in Public goods, environmental externalities and fiscal competition, 2006, pp 311-342 from Springer
Abstract:
Abtract The methodology of free disposal hull (FDH) measure of productive efficiency is defined and put in perspective vis-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.
Keywords: Public Good; Data Envelopment Analysis; Efficiency Score; Technical Progress; Private Bank (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (6)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: On FDH efficiency analysis: Some methodological issues and applications to retail banking, courts, and urban transit (1993) 
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:spr:sprchp:978-0-387-25534-7_17
Ordering information: This item can be ordered from
http://www.springer.com/9780387255347
DOI: 10.1007/978-0-387-25534-7_17
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().