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dc.contributor.authorKatsoulacos, Yannis
dc.contributor.authorUlph, David
dc.date.accessioned2020-10-02T14:30:02Z
dc.date.available2020-10-02T14:30:02Z
dc.date.issued2020-11
dc.identifier.citationKatsoulacos , Y & Ulph , D 2020 , ' Optimal legal standards for competition policy further re-visited ' , Economics Letters , vol. 196 , 109578 . https://doi.org/10.1016/j.econlet.2020.109578en
dc.identifier.issn0165-1765
dc.identifier.otherPURE: 270165675
dc.identifier.otherPURE UUID: e2915e43-0374-4cf5-a7a7-e1ad742a3f91
dc.identifier.otherORCID: /0000-0003-3171-1270/work/80995449
dc.identifier.otherScopus: 85091924508
dc.identifier.otherWOS: 000582215500042
dc.identifier.urihttps://hdl.handle.net/10023/20716
dc.description.abstractKatsoulacosand Ulph (2009) showed how all the factors identified as being relevant to choosing between a Per Se and an Effects-Basedlegal standard in terms of their decision error costs could be combined into asimple formula for determining which standard to use.    Seifert (2020) gives an alternativecharacterisation of an Effects-Based legal standard and shows that itsdecision error costs are never higher than those of Per Se.  We argue that nevertheless our originalformula remains valid for choosing between these two legal standards.
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofEconomics Lettersen
dc.rightsCopyright ©2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en
dc.subjectLegal standardsen
dc.subjectPer Seen
dc.subjectEffects-baseden
dc.subjectDecision errorsen
dc.subjectBayesian updatingen
dc.subjectHB Economic Theoryen
dc.subjectEconomics, Econometrics and Finance(all)en
dc.subjectT-NDASen
dc.subject.lccHBen
dc.titleOptimal legal standards for competition policy further re-visiteden
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Economics and Financeen
dc.identifier.doihttps://doi.org/10.1016/j.econlet.2020.109578
dc.description.statusPeer revieweden


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