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Accounting Complexity and Misreporting: Manipulation or Mistake?

dc.contributor.authorPeterson, Kyleen_US
dc.date.accessioned2008-08-25T20:56:53Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2008-08-25T20:56:53Z
dc.date.issued2008en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60842
dc.description.abstractI explore the effect of accounting complexity on misreporting using a setting of revenue restatements. I measure revenue recognition complexity using a factor score based on the number of words and revenue recognition methods from the revenue recognition disclosure in the 10-K just prior to the restatement announcement. Results are consistent with revenue recognition complexity increasing the probability of revenue restatements, after controlling for other determinants of misreporting revenue. These results are significant both statistically and economically and are robust to a number of different specifications. I also test whether misreporting for complex revenue recognition firms is the result of mistakes or manipulation. My tests provide no evidence consistent with complex revenue recognition being associated with manipulating revenue. However, there is evidence that firms that restate revenue and have more complex revenue recognition are less likely to receive an AAER from the SEC and have less negative restatement announcement returns than firms with less complex revenue recognition, suggesting mistakes are more likely for more complex firms.en_US
dc.format.extent339047 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectMisreportingen_US
dc.subjectRestatementen_US
dc.subjectAccountingen_US
dc.subjectComplexityen_US
dc.subjectRevenue Recognitionen_US
dc.titleAccounting Complexity and Misreporting: Manipulation or Mistake?en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineBusiness Administrationen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberHanlon, Michelle Leeen_US
dc.contributor.committeememberDichev, Ilia D.en_US
dc.contributor.committeememberLee, Yoonseoken_US
dc.contributor.committeememberLundholm, Russell Jamesen_US
dc.contributor.committeememberMuir, Dana M.en_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60842/1/kylepete_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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