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Title:Rough set methodology in meta-analysis: a comparative and exploratory analysis PDF Logo
Authors:Rupp, Thomas
Issue Date:2005
Series/Report no.:Darmstadt discussion papers in economics 157
Abstract:We 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.
Subjects:rough data set
RSDA
meta analysis
data mining
pattern recognition
deterrence
criminometrics
JEL:K14
K42
C49
Document Type:Working Paper
Appears in Collections:Darmstadt Discussion Papers in Economics, Inst. f. VWL, TU Darmstadt

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