Limits of the Elzinga-Hogarty Test in Hospital Mergers: The Evanston Case
Kenneth Elzinga and
Anthony Swisher
International Journal of the Economics of Business, 2011, vol. 18, issue 1, 133-146
Abstract:
The Elzinga-Hogarty (E-H) test for geographic market definition has been widely used by both government enforcement agencies and merging parties in hospital merger cases. However, two characteristics of hospital services markets - the Silent Majority Fallacy and the Payer Problem - may tend to undermine the utility of the E-H test in hospital merger cases. Where direct evidence of anticompetitive effects attributable to a merger is available, its use may diminish the need to rely on geographic market definition tools such as the E-H test. Such direct evidence is most readily available in post-closing merger challenges such as the FTC's Evanston case. It remains to be seen, however, whether the E-H test will continue to be relied on in more traditional, pre-closing merger challenges.
Keywords: Hospital Mergers; Elzinga-Hogarty Test; Relevant Markets; Antimerger Policy (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.tandfonline.com/10.1080/13571516.2011.542963 (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:taf:ijecbs:v:18:y:2011:i:1:p:133-146
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIJB20
DOI: 10.1080/13571516.2011.542963
Access Statistics for this article
International Journal of the Economics of Business is currently edited by Eleanor Morgan
More articles in International Journal of the Economics of Business from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().