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Using the Statistical Concept of "severity" to Assess Seemingly Contradictory Statistical Evidence (with a Particular Application to Damage Estimation)
Peter Bönisch
Roman Inderst
出版
Center for Advanced Studies on the Foundations of Law and Finance, House of Finance, Goethe University
, 2020
URL
http://books.google.com.hk/books?id=r1rYzgEACAAJ&hl=&source=gbs_api
註釋
When parties present divergent econometric evidence, the court may view such evidence as contradictory and thus ignore it completely, without conducting closer analysis. We develop a simple method for distinguishing between actual and merely apparent contradiction based on the statistical concept of the "severity" of the furnished evidence. Again using "severity", we also propose a method for reconciling divergent findings in instances of mere seeming contradiction. Our chosen application is that of damage estimation in follow-on cases.