IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/41207.html
   My bibliography  Save this paper

Nonlinear Pricing with Arbitrage: On the Role of Correlation

Author

Listed:
  • Meng, Dawen
  • Tian, Guoqiang

Abstract

In nonlinear pricing environment with correlated types, we characterize optimal selling mechanisms when buyers could form a coalition to coordinate their reports and to arbitrage on the goods. We find that when the types of agents are weakly positively correlated, the optimal weakly collusion-proof mechanism calls for distortions away from e±ciency obtained without arbitrage; when the types are weakly negatively correlated, the monopolist can achieve the same profit regardless of whether or not buyers can arbitrage on their goods. Allowing arbitrage within coalitions result in right discontinuity between the correlated and uncorrelated environment, but the left continuity is still available.

Suggested Citation

  • Meng, Dawen & Tian, Guoqiang, 2008. "Nonlinear Pricing with Arbitrage: On the Role of Correlation," MPRA Paper 41207, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:41207
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/41207/1/MPRA_paper_41207.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lucia Quesada, 2003. "Modeling collusion as an informed principal problem," Game Theory and Information 0304002, University Library of Munich, Germany.
    2. Yeon-Koo Che & Jinwoo Kim, 2006. "Robustly Collusion-Proof Implementation," Econometrica, Econometric Society, vol. 74(4), pages 1063-1107, July.
    3. Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997. "Bidder Collusion at Forest Service Timber Sales," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-699, August.
    4. Doh-Shin Jeon & Domenico Menicucci, 2005. "Optimal Second-Degree Price Discrimination and Arbitrage: On the Role of Asymmetric Information Among Buyers," RAND Journal of Economics, The RAND Corporation, vol. 36(2), pages 337-360, Summer.
    5. Jean-Jacques Laffont & David Martimort, 1997. "Collusion under Asymmetric Information," Econometrica, Econometric Society, vol. 65(4), pages 875-912, July.
    6. Jean-Jacques Laffont & David Martimort, 2000. "Mechanism Design with Collusion and Correlation," Econometrica, Econometric Society, vol. 68(2), pages 309-342, March.
    7. Laffont, Jean-Jacques, 2001. "Incentives and Political Economy," OUP Catalogue, Oxford University Press, number 9780199248681.
    8. Lucia Quesada, 2005. "Collusion as an Informed Principal Problem," Game Theory and Information 0504002, University Library of Munich, Germany.
    9. Antoine Faure-Grimaud & Jean-Jacques Laffont & David Martimort, 2003. "Collusion, Delegation and Supervision with Soft Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 253-279.
    10. Dilip Mookherjee & Masatoshi Tsumagari, 2004. "The Organization of Supplier Networks: Effects of Delegation and Intermediation," Econometrica, Econometric Society, vol. 72(4), pages 1179-1219, July.
    11. Martin Pesendorfer, 2000. "A Study of Collusion in First-Price Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 381-411.
    12. Eric Maskin & John Riley, 1984. "Monopoly with Incomplete Information," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 171-196, Summer.
    13. Laffont, Jean-Jacques & Rochet, Jean-Charles, 1997. " Collusion in Organizations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 99(4), pages 485-495, December.
    14. Cremer, Jacques & McLean, Richard P, 1985. "Optimal Selling Strategies under Uncertainty for a Discriminating Monopolist When Demands Are Interdependent," Econometrica, Econometric Society, vol. 53(2), pages 345-361, March.
    15. Tirole, Jean, 1986. "Hierarchies and Bureaucracies: On the Role of Collusion in Organizations," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 2(2), pages 181-214, Fall.
    16. Cremer, Jacques & McLean, Richard P, 1988. "Full Extraction of the Surplus in Bayesian and Dominant Strategy Auctions," Econometrica, Econometric Society, vol. 56(6), pages 1247-1257, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Che,Y.-K. & Kim,J., 2004. "Collusion-proof implementation of optimal mechanisms," Working papers 4, Wisconsin Madison - Social Systems.
    2. Meng, Dawen & Tian, Guoqiang, 2014. "Collusion-Proof Mechanism Design in Two-Agent Nonlinear Pricing Environments," MPRA Paper 57931, University Library of Munich, Germany.
    3. Nicolas Gruyer, 2008. "Optimal Auctions when a seller is bound to sell to collusive bidders (new version of "using lotteries ...")," Economics Working Papers 06, LEEA (air transport economics laboratory), ENAC (french national civil aviation school).
    4. Mookherjee, Dilip & Motta, Alberto & Tsumagari, Masatoshi, 2020. "Consulting collusive experts," Games and Economic Behavior, Elsevier, vol. 122(C), pages 290-317.
    5. Che, Yeon-Koo & Kim, Jinwoo, 2009. "Optimal collusion-proof auctions," Journal of Economic Theory, Elsevier, vol. 144(2), pages 565-603, March.
    6. Dawen Meng & Guoqiang Tian & Zhe Yang, 2017. "Two-agent collusion-proof implementation with correlation and arbitrage," Review of Economic Design, Springer;Society for Economic Design, vol. 21(3), pages 177-229, September.
    7. Jansen, Jos & Jeon, Doh-Shin & Menicucci, Domenico, 2008. "The organization of regulated production: Complementarities, correlation and collusion," International Journal of Industrial Organization, Elsevier, vol. 26(1), pages 327-353, January.
    8. von Negenborn, Colin & Pollrich, Martin, 2020. "Sweet lemons: Mitigating collusion in organizations," Journal of Economic Theory, Elsevier, vol. 189(C).
    9. Asseyer, Andreas, 2016. "Optimal Information Disclosure and Collusion," VfS Annual Conference 2016 (Augsburg): Demographic Change 145779, Verein für Socialpolitik / German Economic Association.
    10. Fahad Khalil & Jacques Lawarrée & Troy J. Scott, 2015. "Private monitoring, collusion, and the timing of information," RAND Journal of Economics, RAND Corporation, vol. 46(4), pages 872-890, October.
    11. Dequiedt, Vianney, 2007. "Efficient collusion in optimal auctions," Journal of Economic Theory, Elsevier, vol. 136(1), pages 302-323, September.
    12. Nicolas Gruyer, 2009. "Optimal Auctions When A Seller Is Bound To Sell To Collusive Bidders," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 835-850, December.
    13. Celik, Gorkem, 2009. "Mechanism design with collusive supervision," Journal of Economic Theory, Elsevier, vol. 144(1), pages 69-95, January.
    14. Correia-da-Silva, João, 2020. "Self-rejecting mechanisms," Games and Economic Behavior, Elsevier, vol. 120(C), pages 434-457.
    15. Michela Cella, 2011. "Monitoring subcontracting in a suppliers' hierarchy," Oxford Economic Papers, Oxford University Press, vol. 63(3), pages 523-548, July.
    16. Sylvain Chassang & Gerard Padró i Miquel, 2014. "Corruption, Intimidation, and Whistle-blowing: a Theory of Inference from Unverifiable Reports," NBER Working Papers 20315, National Bureau of Economic Research, Inc.
    17. Martin Hellwig, 2015. "Financial Stability and Monetary Policy," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2015_10, Max Planck Institute for Research on Collective Goods.
    18. Bilgehan Karabay, 2017. "Optimal Regulation of Multinationals under Collusion," The World Economy, Wiley Blackwell, vol. 40(8), pages 1687-1706, August.
    19. Hu, Audrey & Offerman, Theo & Onderstal, Sander, 2011. "Fighting collusion in auctions: An experimental investigation," International Journal of Industrial Organization, Elsevier, vol. 29(1), pages 84-96, January.
    20. Juan Ortner & Sylvain Chassang, 2014. "Making Collusion Hard: Asymmetric Information as a Counter-Corruption Measure," Working Papers 064-2014, Princeton University, Department of Economics, Econometric Research Program..

    More about this item

    Keywords

    Nonlinear pricing; weakly collusion-proof; arbitrage; correlated types;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:41207. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.