Arbeitspapier
Using the Statistical Concept of "Severity" to Assess Seemingly Contradictory Statistical Evidence (with a Particular Application to Damage Estimation)
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: LawFin Working Paper ; No. 3
- Klassifikation
-
Wirtschaft
- Thema
-
Cartel damages
severity
statistical testing
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Bönisch, Peter
Inderst, Roman
- Ereignis
-
Veröffentlichung
- (wer)
-
Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin)
- (wo)
-
Frankfurt a. M.
- (wann)
-
2020
- DOI
-
doi:10.2139/ssrn.3702906
- Handle
- URN
-
urn:nbn:de:hebis:30:3-616436
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Bönisch, Peter
- Inderst, Roman
- Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin)
Entstanden
- 2020
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