Optimal Collusion with Internal Contracting
Gea M. Lee
No 08-2008, Working Papers from Singapore Management University, School of Economics
Abstract:
In this paper, we develop a model of collusion in which two firms play an infinitely repeated Bertrand game when each firm has a privately-informed agent. The colluding firms, fixing prices, allocate market shares based on the agent’s information as to cost types. We emphasize that the presence of privately-informed agents may provide firms with a strategic opportunity to exploit an interaction between internal contracting and market-sharing arrangement: the contracts with agents may be used to induce firms’ truthful communication in their collusion, and collusive market-share allocation may act to reduce the agents’ information rents.
Keywords: Optimal collusion; internal contract; privately-informed agents; price-fixing (search for similar items in EconPapers)
JEL-codes: C73 L13 L14 (search for similar items in EconPapers)
Pages: 46 pages
Date: 2008-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Published in SMU Economics and Statistics Working Paper Series
Downloads: (external link)
https://mercury.smu.edu.sg/rsrchpubupload/10324/OptimalCollusion2008.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Server closed connection without sending any data back
Related works:
Journal Article: Optimal collusion with internal contracting (2010) 
Working Paper: Optimal Collusion with Internal Contracting (2008) 
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:siu:wpaper:08-2008
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Papers from Singapore Management University, School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by QL THor ().