Estimating cartel damages with model averaging approaches
Wen-Jen Tsay ()
International Review of Law and Economics, 2021, vol. 68, issue C
This research offers an easy-to-implement forecast combination procedure to deal with issues of model uncertainty when evaluating cartel damages. We combine the Mallows model averaging (MMA) method with both the dummy variable (DV) and forecasting approaches to investigate the famous citric acid cartel case during the 1990s. The path of but-for prices generated from the MMA method with DV specification lies in-between those generated from the forecasting and DV methods, supporting the theoretical properties of the MMA method that weights over different forecasts generated from various candidate models. The findings indicate that the but-for prices generated from the MMA method could serve as a useful robustness check for cartel damage estimations.
Keywords: Cartel; Antitrust; Damage estimation (search for similar items in EconPapers)
JEL-codes: C10 L12 L41 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:irlaec:v:68:y:2021:i:c:s0144818821000430
Access Statistics for this article
International Review of Law and Economics is currently edited by C. Ott, A. W. Katz and H-B. SchÃ¤fer
More articles in International Review of Law and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().