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Antitrust leniency with multiproduct colluders
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Marx, Leslie M., Mezzetti, Claudio and Marshall, Robert C. (2015) Antitrust leniency with multiproduct colluders. American Economic Journal : Microeconomics , 7 (3). pp. 205-240. doi:10.1257/mic.20140054 ISSN 1945-7669.
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WRAP-Antitrust-leniency-with-multiproduct-colluders-Mezzetti-2015.pdf - Accepted Version - Requires a PDF viewer. Download (613Kb) | Preview |
Official URL: http://dx.doi.org/10.1257/mic.20140054
Abstract
We use a global games approach to model alternative implementations of an antitrust leniency program as applied to multiproduct colluders. We derive several policy design lessons; e.g., we show that it is possible that linking leniency across products increases the likelihood of conviction in the first product investigated but reduces it in subsequent products. Thus, firms may have an incentive to form sacrificial cartels and apply for leniency in less valuable products to reduce convictions in more valuable products. Cartel profiling can mitigate this undesirable effect, but also reduces the probability of conviction in the first product investigated.
| Item Type: | Journal Article | ||||||
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| Subjects: | H Social Sciences > HD Industries. Land use. Labor K Law [Moys] > KN Common Law, Private Law |
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| Divisions: | Faculty of Social Sciences > Economics | ||||||
| Library of Congress Subject Headings (LCSH): | Cartels -- Research -- Mathematical models, Antitrust law | ||||||
| Journal or Publication Title: | American Economic Journal : Microeconomics | ||||||
| Publisher: | American Economic Association | ||||||
| ISSN: | 1945-7669 | ||||||
| Official Date: | August 2015 | ||||||
| Dates: |
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| Volume: | 7 | ||||||
| Number: | 3 | ||||||
| Page Range: | pp. 205-240 | ||||||
| DOI: | 10.1257/mic.20140054 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 25 July 2018 | ||||||
| Date of first compliant Open Access: | 25 July 2018 | ||||||
| RIOXX Funder/Project Grant: |
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