Measuring the Extent of Structural Remedy in Section 7 Settlements: Was the US DOJ Successful in the 1990s?
Mikhail Kouliavtsev ()
Review of Industrial Organization, 2007, vol. 30, issue 1, 27 pages
Abstract:
This paper suggests an innovative measure of structural relief obtained in a typical Section 7 settlement. The fraction of competitive overlap subject to divestiture as a condition of the settlement is modeled as a function of merger-specific efficiencies, the proportion of the deal held “hostage” to antitrust review, the merger’s anticompetitive potential, and other factors. The model is applied to data on 86 recent Justice Department cases covering the period 1990–2003 and to the subsample of 1990s cases. All data are collected from publicly available documents only. The government is found to secure larger divestitures when the cost to the acquirer of delaying the settlement is high. The resulting estimates are used to predict several out-of-sample observations. Copyright Springer Science+Business Media, LLC 2007
Keywords: merger policy; U.S. Department of Justice; structural remedies; L44; C24 (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11151-006-9118-4 (text/html)
Access to full text is restricted to subscribers.
Related works:
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:kap:revind:v:30:y:2007:i:1:p:1-27
Ordering information: This journal article can be ordered from
http://www.springer. ... on/journal/11151/PS2
DOI: 10.1007/s11151-006-9118-4
Access Statistics for this article
Review of Industrial Organization is currently edited by L.J. White
More articles in Review of Industrial Organization from Springer, The Industrial Organization Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().