Jiong Gong (),
Randolph McAfee and
Michael Williams ()
MPRA Paper from University Library of Munich, Germany
Fraud is an ancient crime and one that annually causes hundreds of billions of dollars in losses. We examine the behavioral patterns over time of different types of frauds, which illustrate cyclical frequencies. We develop an evolutionary theory that suggests cyclic behavior in frauds should be common.
Keywords: fraud; cycle; steady state (search for similar items in EconPapers)
JEL-codes: C70 A10 D00 (search for similar items in EconPapers)
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https://mpra.ub.uni-muenchen.de/28934/1/MPRA_paper_28934.pdf original version (application/pdf)
Journal Article: Fraud Cycles (2016)
Working Paper: Fraud Cycles (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:28934
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