Using Accounting Data in Cartel Damage Calculations – Blessing or Menace?
Johannes Paha
No 200929, MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung)
Abstract:
Standard methods for calculating cartel-damages rely on data of prices charged and quantity sold. Such data may not easily be available. In this paper, it is shown that a lower bound for cartel-damages can also be computed from accounting data. In previous literature it is shown that economic profits can hardly be inferred from accounting data. Therefore, it is shown under which econometrically testable assumptions on accounting costs a meaningful lower bound for cartel damages can consistently be estimated from accounting data. An estimation of cartel-damages is performed for four vitamins producers that participated in the vitamins cartel. The results indicate that both the aggregation-level and the publication-frequency of accounting data pose a challenge to the estimation of cartel damages. A further challenge is to appropriately reflect the strength respectively effectiveness of the collusive agreement in the specification of any such estimation.
JEL-codes: C22 L12 L13 L41 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2009
New Economics Papers: this item is included in nep-acc, nep-com and nep-reg
References: Add references at CitEc
Citations:
Forthcoming in
Downloads: (external link)
https://www.uni-marburg.de/en/fb02/research-groups ... ers/29-2009_paha.pdf First version, 2009 (application/pdf)
Related works:
Journal Article: Using accounting data in cartel damage calculations: blessing or menace? (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mar:magkse:200929
Access Statistics for this paper
More papers in MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) Contact information at EDIRC.
Bibliographic data for series maintained by Bernd Hayo ().