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Antitrust class proceedings – Then and now

In: The Law and Economics of Class Actions

Author

Listed:
  • Michael D. Hausfeld
  • Gordon C. Rausser
  • Gareth J. Macartney
  • Michael P. Lehmann
  • Sathya S. Gosselin

Abstract

In class action antitrust litigation, the standards for acceptable economic analysis at class certification have continued to evolve. The most recent event in this evolution is the United States Supreme Court’s decision inComcast Corp. v. Behrend, 133 S. Ct. 1435 (2013). The evolution of pre-Comcastlaw on this topic is presented, theComcastdecision is thoroughly assessed, as are the standards for developing reliable economic analysis. This article explains how economic evidence of both antitrust liability and damages ought to be developed in light of the teachings ofComcast, and how liability evidence can be used by economists to support a finding of common impact for certification purposes. In addition, the article addresses how statistical techniques such as averaging, price-dispersion analysis, and multiple regressions have and should be employed to establish common proof of damages.

Suggested Citation

  • Michael D. Hausfeld & Gordon C. Rausser & Gareth J. Macartney & Michael P. Lehmann & Sathya S. Gosselin, 2014. "Antitrust class proceedings – Then and now," Research in Law and Economics, in: The Law and Economics of Class Actions, volume 26, pages 77-133, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:rlwezz:s0193-589520140000026004
    DOI: 10.1108/S0193-589520140000026004
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    References listed on IDEAS

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    1. Baker, Jonathan B & Rubinfeld, Daniel L, 1999. "Empirical Methods in Antitrust Litigation: Review and Critique," American Law and Economics Review, Oxford University Press, vol. 1(1-2), pages 386-435, Fall.
    2. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
    3. James F. Nieberding, 2006. "Estimating overcharges in antitrust cases using a reduced-form approach: Methods and issues," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 361-380, November.
    4. Hartman, Raymond S & Doane, Michael J, 1987. "The Use of Hedonic Analysis for Certification and Damage Calculations in Class Action Complaints," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 3(2), pages 351-372, Fall.
    5. Saul Lach, 2002. "Existence And Persistence Of Price Dispersion: An Empirical Analysis," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 433-444, August.
    6. James F. Nieberding, 2006. "Estimating Overcharges in Antitrust Cases Using a Reduced-Form Approach: Methods and Issues," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(2), pages 361-380, November.
    7. Whiteside, M M & Narayanan, A, 1989. "Reverse Regression, Collinearity, and Employment Discrimination," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 403-406, July.
    8. Kennedy, Peter E, 2002. "Sinning in the Basement: What Are the Rules? The Ten Commandments of Applied Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 569-589, September.
    9. Harold T. Shapiro, 1973. "Is Verification Possible? The Evaluation of Large Econometric Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 250-258.
    10. Carter, John R, 1978. "Collusion, Efficiency, and Antitrust," Journal of Law and Economics, University of Chicago Press, vol. 21(2), pages 435-444, October.
    11. Barron, John M. & Taylor, Beck A. & Umbeck, John R., 2004. "Number of sellers, average prices, and price dispersion," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1041-1066, November.
    12. Earl R. Swanson, 1960. "Discussion: Are Agricultural Economists Becoming Mechanics?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 42(5), pages 1483-1486.
    13. Alan T. Sorensen, 2000. "Equilibrium Price Dispersion in Retail Markets for Prescription Drugs," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 833-862, August.
    14. Peter E. Kennedy, 2002. "Sinning in the Basement: What are the Rules? The Ten Commandments of Applied Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 569-589, September.
    15. Douglas Ginsburg & Derek Moore, 2010. "The Future of Behavioral Economics in Antitrust Jurisprudence," CPI Journal, Competition Policy International, vol. 6.
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    More about this item

    Keywords

    Class actions; damages; common impact; class certification; multiple regression; antitrust; B40; K00; K41; K21; L00;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • K00 - Law and Economics - - General - - - General (including Data Sources and Description)
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process
    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L00 - Industrial Organization - - General - - - General

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