Rough set methodology in meta-analysis - a comparative and exploratory analysis

Thomas Rupp

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

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.

JEL-codes: C49 K14 K42 (search for similar items in EconPapers)
Date: 2005-11
Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/36791/
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Published in Darmstadt Discussion Papers in Economics . 157 (2005-11)

Downloads: (external link)
http://econstor.eu/bitstream/10419/32084/1/504362275.PDF

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:36791

Access Statistics for this paper

More papers in Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL) Contact information at EDIRC.
Bibliographic data for series maintained by Dekanatssekretariat ().