Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/23576
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dc.contributor.authorBrümmer, Bernharden_US
dc.contributor.authorThiele, Holger D.en_US
dc.date.accessioned2009-01-29T16:31:22Z-
dc.date.available2009-01-29T16:31:22Z-
dc.date.issued1999en_US
dc.identifier.urihttp://hdl.handle.net/10419/23576-
dc.description.abstractThis paper explores the consequences for parametric and non-parametric efficiency levelsand rankings when using grouped instead of individual Decision Making Units (DMU). Thebias results due to the differences of the grouped DMUs frontier compared to the individualDMUs frontier. Monte Carlo experimentation is used to evaluate the empirical dimension onthe estimated efficiency levels and rankings. These results are illustrated with an empiricalexample using a sample of German farms. The bias in ranking is found to be substantial.Finally, a correction procedure is developed to improve the results when only grouped data areavailable.en_US
dc.language.isoengen_US
dc.publisheren_US
dc.relation.ispartofseries|aFE Workingpaper / Universität Kiel, Department of Food Economics and Consumption Studies |x9906en_US
dc.subject.ddc330en_US
dc.subject.keywordGrouped dataen_US
dc.subject.keywordaggregationen_US
dc.subject.keywordDEAen_US
dc.subject.keywordSFAen_US
dc.subject.stwData-Envelopment-Analyseen_US
dc.subject.stwTechnische Effizienzen_US
dc.subject.stwAgrarstatistiken_US
dc.subject.stwAggregationen_US
dc.subject.stwBiasen_US
dc.subject.stwTheorieen_US
dc.subject.stwDeutschlanden_US
dc.titleProblems of using grouped DMUs for efficiency measurement: Monte Carlo experiments, empirical dimension, and a correction procedureen_US
dc.typeWorking Paperen_US
dc.identifier.ppn325890595en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:caufew:9906-

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