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dc.contributor.authorBrümmer, Bernharden
dc.contributor.authorThiele, Holger D.en
dc.date.accessioned2009-01-29T16:31:22Z-
dc.date.available2009-01-29T16:31:22Z-
dc.date.issued1999-
dc.identifier.urihttp://hdl.handle.net/10419/23576-
dc.description.abstractThis paper explores the consequences for parametric and non-parametric efficiency levels and rankings when using grouped instead of individual Decision Making Units (DMU). The bias results due to the differences of the grouped DMUs frontier compared to the individual DMUs frontier. Monte Carlo experimentation is used to evaluate the empirical dimension on the estimated efficiency levels and rankings. These results are illustrated with an empirical example 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 are available.en
dc.language.isoengen
dc.publisher|aKiel University, Department of Food Economics and Consumption Studies |cKielen
dc.relation.ispartofseries|aFE Working Paper |x9906en
dc.subject.ddc330en
dc.subject.keywordGrouped dataen
dc.subject.keywordaggregationen
dc.subject.keywordDEAen
dc.subject.keywordSFAen
dc.subject.stwData-Envelopment-Analyseen
dc.subject.stwTechnische Effizienzen
dc.subject.stwAgrarstatistiken
dc.subject.stwAggregationen
dc.subject.stwBiasen
dc.subject.stwTheorieen
dc.subject.stwDeutschlanden
dc.titleProblems of using grouped DMUs for efficiency measurement: Monte Carlo experiments, empirical dimension, and a correction procedure-
dc.typeWorking Paperen
dc.identifier.ppn325890595en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:caufew:9906en

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