IDEAS home Printed from https://ideas.repec.org/p/cdl/agrebk/qt4fz4c9kq.html
   My bibliography  Save this paper

Antitrust Class Proceedings - Then And Now

Author

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

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 in Comcast Corp. v. Behrend, 133 S. Ct. 1435 (2013). The evolution of pre-Comcast law on this topic is presented, the Comcast decision 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 of Comcast, 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. Copyright © 2014 Emerald Group Publishing Limited.

Suggested Citation

  • Hausfeld, Michael D & Rausser, Gordon C & Macartney, Gareth J & Lehmann, Michael P & Gosselin, Sathya S, 2014. "Antitrust Class Proceedings - Then And Now," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4fz4c9kq, Department of Agricultural & Resource Economics, UC Berkeley.
  • Handle: RePEc:cdl:agrebk:qt4fz4c9kq
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4fz4c9kq.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Baker, Jonathan B & Rubinfeld, Daniel L, 1999. "Empirical Methods in Antitrust Litigation: Review and Critique," American Law and Economics Review, American Law and Economics Association, 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. repec:bla:jecsur:v:16:y:2002:i:4:p:569-89 is not listed on IDEAS
    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.
    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. Welter, Dominik & Napel, Stefan, 2016. "Responsibility-based allocation of cartel damages," VfS Annual Conference 2016 (Augsburg): Demographic Change 145886, Verein für Socialpolitik / German Economic Association.
    2. Matthew Lewis, 2008. "Price Dispersion And Competition With Differentiated Sellers," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 654-678, September.
    3. Marcel Boyer & Anne Catherine Faye & Rachidi Kotchoni, 2017. "Challenges and Pitfalls in Cartel Policy and Fining," CIRANO Working Papers 2017s-20, CIRANO.
    4. Dieter Pennerstorfer & Philipp Schmidt‐Dengler & Nicolas Schutz & Christoph Weiss & Biliana Yontcheva, 2020. "Information And Price Dispersion: Theory And Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 871-899, May.
    5. Tsay, Wen-Jen, 2021. "Estimating cartel damages with model averaging approaches," International Review of Law and Economics, Elsevier, vol. 68(C).
    6. Avi Weiss & Joshua Sherman, 2014. "An Empirical Analysis of Search Costs and Price Dispersion," Working Papers 2014-06, Bar-Ilan University, Department of Economics.
    7. Alessandro Bonanno & Francesco Bimbo & Marco Costanigro & Alfons Oude Lansink & Rosaria Viscecchia, 2019. "Credence attributes and the quest for a higher price – a hedonic stochastic frontier approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(2), pages 163-192.
    8. Xulia González & Daniel Miles-Touya, 2018. "Price dispersion, chain heterogeneity, and search in online grocery markets," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(1), pages 115-139, March.
    9. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    10. Anania, Giovanni & Nisticò, Rosanna, 2014. "Price dispersion and seller heterogeneity in retail food markets," Food Policy, Elsevier, vol. 44(C), pages 190-201.
    11. Taehwan Kim, 2018. "Price Competition and Market Segmentation in Retail Gasoline: New Evidence from South Korea," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(3), pages 507-534, November.
    12. Alfredo Martin-Oliver & Vicente Salas-Fumas & Jesús Saurina, 2008. "Search Cost and Price Dispersion in Vertically Related Markets: The Case of Bank Loans and Deposits," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 297-323, December.
    13. Sandro Shelegia & Chris M. Wilson, 2021. "A Generalized Model of Advertised Sales," American Economic Journal: Microeconomics, American Economic Association, vol. 13(1), pages 195-223, February.
    14. Shelegia, Sandro & Wilson, Chris, 2016. "A Generalized Model of Sales," EconStor Preprints 147411, ZBW - Leibniz Information Centre for Economics.
    15. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    16. Salvador Gil-Pareja & Simón Sosvilla-Rivero, 2004. "Export Market Integration in the European Union," Journal of Applied Economics, Taylor & Francis Journals, vol. 7(2), pages 271-301, November.
    17. Günter J. Hitsch & Ali Hortaçsu & Xiliang Lin, 2021. "Prices and promotions in U.S. retail markets," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 289-368, December.
    18. Greg Kaplan & Guido Menzio & Leena Rudanko & Nicholas Trachter, 2019. "Relative Price Dispersion: Evidence and Theory," American Economic Journal: Microeconomics, American Economic Association, vol. 11(3), pages 68-124, August.
    19. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    20. Sofronis Clerides & Pascal Courty & Yupei Ma, 2023. "Store expensiveness and consumer saving: Insights from a new decomposition of price dispersion," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 65-94, March.

    More about this item

    Keywords

    Class actions; damages; common impact; class certification; multiple regression; antitrust; Economics;
    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

    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:cdl:agrebk:qt4fz4c9kq. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/dabrkus.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.