Using dominance in forming bounds on DEA models: The case of experimental agricultural data

Dominance techniques are used to create optimistic and pessimistic convex free-disposal hull technologies for data sets. These optimistic and pessimistic technologies create bounds within which can reasonably expect the true technology to lie. The potential differences between these optimistic and p...

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Bibliographic Details
Published inJournal of econometrics Vol. 85; no. 1; pp. 189 - 203
Main Authors Chambers, Robert G., Färe, Rolf, Jaenicke, Edward, Lichtenberg, Erik
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.07.1998
Elsevier
Elsevier Sequoia S.A
SeriesJournal of Econometrics
Subjects
Agricultural economics
Agricultural research
Applications
Biology, psychology, social sciences
Data envelopment analysis
DEA analysis
Dominance
Econometric models
Econometrics
Exact sciences and technology
Insurance, economics, finance
Mathematics
Medical sciences
Multivariate analysis
Optimistic and pessimistic frontier
Probability and statistics
Reliability, life testing, quality control
Sciences and techniques of general use
Statistics
Studies
C63
Dominance
DEA analysis
Optimistic and pessimistic frontier
C60
Data analysis
Convex hull
Experimental data
Agricultural economics
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Summary:Dominance techniques are used to create optimistic and pessimistic convex free-disposal hull technologies for data sets. These optimistic and pessimistic technologies create bounds within which can reasonably expect the true technology to lie. The potential differences between these optimistic and pessimistic reference technologies are examined by comparing the reference technologies for data drawn from agricultural field trials. Empirical analysis suggests that there are significant differences between the reference technologies.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0304-4076
1872-6895
DOI:10.1016/S0304-4076(97)00100-0