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The Use and Misuse of Econometric Evidence in Employment Discrimination Cases

dc.contributor.authorHersch, Joni, 1956-
dc.contributor.authorBullock, Blair Druhan
dc.date.accessioned2018-07-09T21:12:00Z
dc.date.available2018-07-09T21:12:00Z
dc.date.issued2014
dc.identifier.citation71 Wash. & Lee L. Rev. 2365 (2014)en_US
dc.identifier.urihttp://hdl.handle.net/1803/8932
dc.descriptionarticle published in law reviewen_US
dc.description.abstractExperts routinely criticize three aspects of regression analyses presented by the opposing party in employment discrimination cases: omitted explanatory variables, sample size, and statistical significance. However, these factors affect the reliability of the regression results only in very limited circumstances. As a result, valid regression analyses do not provide the critical guidance that they should in employment discrimination cases. Our own statistical analyses of seventy-eight Title VII employment discrimination cases find that merely raising these critiques, even if spurious, reduces plaintiffs’ likelihood of prevailing at trial. We propose that courts adopt a peer-review system in which court-appointed economists, compensated by each party as a percentage of the total payment to econometric expert witnesses, review econometric evidence before the reports are submitted to the judge or jury.en_US
dc.format.extent1 PDF (68 pages)en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherWashington & Lee Law Reviewen_US
dc.subject.lcshDiscrimination in employment -- United Statesen_US
dc.subject.lcshLawen_US
dc.titleThe Use and Misuse of Econometric Evidence in Employment Discrimination Casesen_US
dc.typeArticleen_US


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