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Veronica Postal

As seen in: Mondaq, Competition Policy International
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Articles by Veronica Postal

Misleading Metrics: The Limitations Of The Two-Step Econometric Method In Establishing Common Impact

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By Veronica Postal, David Terner
| Mondaq
NERA are most popular: within Intellectual Property, Environment and Finance and Banking topic(s) with readers working within the Technology industries One approach frequently used by plaintiffs’ experts to attempt to establish common impact at the class certification stage of a class action antitrust lawsuit is the “two-step econometric method,” sometimes also known as “in-sample prediction analysis.” This approach purports to establish common impact by evaluating whether average prices were...
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Competition In The Information Age

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By James Mellsop, John Scalf, Veronica Postal, Mark J. Ponder
| Mondaq
NERA are most popular: within Antitrust/Competition Law, Technology and Real Estate and Construction topic(s) Data play an increasingly important role in shaping competition, influencing how firms innovate, set prices, and interact with consumers. As data collection and analysis have expanded across the economy, competition authorities have increasingly examined when data promote efficiency and consumer welfare and when they may raise concerns related to market power or exclusionary conduct.
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Can Self-Preferencing Algorithms Be Procompetitive?

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By Emilie Feyler, Veronica Postal
| nera.com
For the best experience we recommend upgrading to the latest version of these supported browsers: Chrome Safari Firefox Internet Explorer I wish to continue viewing on my unsupported browser Virtual 08 January 2024 Hosted By: ABA Senior Consultants Emilie Feyler and Dr. Veronica Postal discuss their article “Can Self-Preferencing Algorithms Be Procompetitive?
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Can Self-Preferencing Algorithms Be Pro-Competitive?

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By Emilie Feyler, Veronica Postal
| Competition Policy International Verified
In response to the growing concerns around artificial intelligence, algorithms, and their influence over consumers’ choices, competition authorities have adopted more stringent rules regarding self-preferencing algorithms used by digital platforms. However, from a theoretical perspective, self-preferencing algorithms can have pro-competitive benefits.
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