TO POOL OR NOT TO POOL: A CLOSER LOOK AT THE USE OF SUB-REGRESSIONS IN ANTITRUST CLASS CERTIFICATION

Ai Deng ()

Journal of Competition Law and Economics, 2017, vol. 13, issue 4, 609-636

Abstract: Did the anticompetitive conduct in question impact all or nearly all class members? This is a question central to a court’s class certification decision. To answer this question, a methodology—known as sub-regressions—is being increasingly employed, particularly by defendants’ expert witnesses. A key step of a sub-regression type analysis is to partition the data into various subgroups and then to examine data poolability. In this article, I focus on three areas of interest pertaining to sub-regressions. First, I review the related law and economics literature related to this methodology. I then analyze courts’ recent class certification decisions in cases where parties introduced sub-regression analysis. I then discuss several methodological challenges, many of which have not been previously acknowledged, and present potential ways to address these challenges. I emphasize that a disciplined and rigorous implementation is crucial for the reliability of sub-regressions.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:oup:jcomle:v:13:y:2017:i:4:p:609-636.

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Journal of Competition Law and Economics is currently edited by Nicholas Economides, Amelia Fletcher, Michal Gal, Damien Geradin, Ioannis Lianos and Tommaso Valletti

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