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What Can the Duration of Discovered Cartels Tell Us About the Duration of Cartels?

Author

Listed:
  • Joseph E. Harrington, Jr.

    (Department of Business Economics & Public Policy, The Wharton School, University of Pennsyslvania)

  • Yanhao Wei

    (Department of Economics, University of Pennsylvania)

Abstract

There are many data sets based on the population of discovered cartels and it is from this data that average cartel duration and the annual probability of cartel death are estimated. It is recognized, however, that these estimates could be biased because the population of discovered cartels may not be a representative sample of the population of cartels. This paper constructs a simple birth-death-discovery process to theoretically investigate what it is we can learn about cartels from data on discovered cartels.

Suggested Citation

  • Joseph E. Harrington, Jr. & Yanhao Wei, 2014. "What Can the Duration of Discovered Cartels Tell Us About the Duration of Cartels?," PIER Working Paper Archive 14-042, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Handle: RePEc:pen:papers:14-042
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    References listed on IDEAS

    as
    1. Oindrila De, 2010. "Analysis of Cartel Duration: Evidence from EC Prosecuted Cartels," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 17(1), pages 33-65.
    2. Bryant, Peter G & Eckard, E Woodrow, Jr, 1991. "Price Fixing: The Probability of Getting Caught," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 531-536, August.
    3. Emmanuel Combe & Constance Monnier & Renaud Legal, 2008. "Cartels: The Probability of Getting Caught in the European Union," Bruges European Economic Research Papers 12, European Economic Studies Department, College of Europe.
    4. Joseph E. Harrington, Jr., 2004. "Cartel Pricing Dynamics in the Presence of an Antitrust Authority," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 651-673, Winter.
    5. Joseph E. Harrington Jr. & Myong-Hun Chang, 2015. "When Can We Expect a Corporate Leniency Program to Result in Fewer Cartels?," Journal of Law and Economics, University of Chicago Press, vol. 58(2), pages 417-449.
    6. Joseph E. Harrington & Myong-Hun Chang, 2009. "Modeling the Birth and Death of Cartels with an Application to Evaluating Competition Policy," Journal of the European Economic Association, MIT Press, vol. 7(6), pages 1400-1435, December.
    7. Marcel Boyer, 2012. "How Much Do Cartels Typically Overcharge?," CIRANO Working Papers 2012s-15, CIRANO.
    8. Marie-Laure Allain & Marcel Boyer & Jean-Pierre Ponssard & Rachidi Kotchoni, 2011. "The Determination of Optimal Fines in Cartel Cases - The Myth of Underdeterrence," CIRANO Working Papers 2011s-34, CIRANO.
    9. Motta,Massimo, 2004. "Competition Policy," Cambridge Books, Cambridge University Press, number 9780521016919.
    10. Joseph E. Harrington, 2005. "Optimal Cartel Pricing In The Presence Of An Antitrust Authority," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(1), pages 145-169, February.
    11. Margaret C. Levenstein & Valerie Y. Suslow, 2011. "Breaking Up Is Hard to Do: Determinants of Cartel Duration," Journal of Law and Economics, University of Chicago Press, vol. 54(2), pages 455-492.
    12. Yannis Katsoulacos & David Ulph, 2013. "Antitrust Penalties and the Implications of Empirical Evidence on Cartel Overcharges," Economic Journal, Royal Economic Society, vol. 123(11), pages 558-581, November.
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    Cited by:

    1. Katsoulacos, Yannis & Motchenkova, Evgenia & Ulph, David, 2015. "Penalizing cartels: The case for basing penalties on price overcharge," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 70-80.
    2. Joseph E. Harrington Jr. & Myong-Hun Chang, 2015. "When Can We Expect a Corporate Leniency Program to Result in Fewer Cartels?," Journal of Law and Economics, University of Chicago Press, vol. 58(2), pages 417-449.
    3. Robert M. Feinberg & Hyunchul Kim & Minsoo Park, 2016. "The Determinants of Cartel Duration in Korea," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(4), pages 433-448, June.

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    More about this item

    Keywords

    Cartel detection; Collusion; Antitrust;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L4 - Industrial Organization - - Antitrust Issues and Policies

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