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Big data and competition policy / Maurice E. Stucke, Allen P. Grunes
Livre
Edité par Oxford University Press - 2016
Introduction. Defining big data. Smartphones as an example of how big data and privacy intersect. The competitive significance of big data. Why haven't market forces addressed consumers' privacy concerns?. The US's and EU's mixed record in assessing data-driven mergers. Agencies focus on what is measurable (Price), which is not always important (Free Goods). Data-driven mergers often fall outside competition policy's conventional categories. Belief that privacy concerns differ from competition policy objectives. Importance of entry barriers in antitrust analysis. Entry barriers can be higher in multi-sided markets, where one side exhibits traditional network effects. Scale of data : trial-and-error, 'Learning-by-doing' network effects. Two more network effects : scope of data and spill-over effects. Reflections on data-driven network effects. Risk of inadequate merger enforcement. The price of weak antitrust enforcement. Recognizing when privacy and competition law intersect. Data-opoly : identifying data-driven exclusionary and predatory conduct. Understanding and assessing data-drien efficiencies claims. Need for retrospectives of data-driven mergers. More coordination among competition, privacy, and consumer protection officials.
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