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dc.contributor.authorRupp, Thomasen_US
dc.date.accessioned2005-12-12en_US
dc.date.accessioned2010-05-14T11:57:19Z-
dc.date.available2010-05-14T11:57:19Z-
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/10419/32084-
dc.description.abstractWe study the applicability of the pattern recognition methodology rough set data analysis (RSDA) in the field of meta analysis. We give a summary of the mathematical and statistical background and then proceed to an application of the theory to a meta analysis of empirical studies dealing with the deterrent effect introduced by Becker and Ehrlich. Results are compared with a previously devised meta regression analysis. We find that the RSDA can be used to discover information overlooked by other methods, to preprocess the data for further studying and to strengthen results previously found by other methods.en_US
dc.language.isoengen_US
dc.publisherTechn. Univ., Inst. für Volkswirtschaftslehre Darmstadten_US
dc.relation.ispartofseriesDarmstadt discussion papers in economics 157en_US
dc.subject.jelK14en_US
dc.subject.jelK42en_US
dc.subject.jelC49en_US
dc.subject.ddc330en_US
dc.subject.keywordrough data seten_US
dc.subject.keywordRSDAen_US
dc.subject.keywordmeta analysisen_US
dc.subject.keyworddata miningen_US
dc.subject.keywordpattern recognitionen_US
dc.subject.keyworddeterrenceen_US
dc.subject.keywordcriminometricsen_US
dc.titleRough set methodology in meta-analysis: a comparative and exploratory analysisen_US
dc.typeWorking Paperen_US
dc.identifier.ppn504362275en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:Darmstadt Discussion Papers in Economics, Inst. f. VWL, TU Darmstadt

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