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#255 Can Self-Preferencing Algorithms Be Procompetitive? A Review of the Economic Literature

#255 Can Self-Preferencing Algorithms Be Procompetitive? A Review of the Economic Literature

FromOur Curious Amalgam


#255 Can Self-Preferencing Algorithms Be Procompetitive? A Review of the Economic Literature

FromOur Curious Amalgam

ratings:
Length:
20 minutes
Released:
Jan 8, 2024
Format:
Podcast episode

Description

Self-preferencing by digital platforms has become ubiquitous in today's antitrust discourse. But has enough focus been put on economic analysis to understand the procompetitive benefits of self-preferencing conduct? Emilie Feyler and Dr. Veronica Postal, Senior Consultants at NERA Economic Consulting, speak with Jaclyn Phillips and Barry Nigro about their assessment of the economic literature on self-preferencing. Listen to this episode to learn more about what the empirical research has to say and if there are still gaps to fill. With special guests: Emilie Feyler, Senior Consultant, NERA Economic Consulting and Dr. Veronica Postal, Senior Consultant, NERA Economic Consulting Related Links: Can Self-Preferencing Algorithms Be Procompetitive? Hosted by: Jaclyn Phillips, White & Case LLP and Barry Nigro, Fried, Frank, Harris, Shriver & Jacobson LLP
Released:
Jan 8, 2024
Format:
Podcast episode

Titles in the series (100)

Our Curious Amalgam explores topics in antitrust, competition, consumer protection, data protection, and privacy law around the world with leading experts in those areas. It is an amalgam because it is a group of diverse topics all in one place. It is curious because it gets the experts and asks them in-depth questions.