Javier D. Donna

Javier D. Donna holds the Jeffrey L. Bewkes Family Endowed Chair and is Associate Professor of Economics at the University of Miami Business School. His research is in industrial organization, antitrust, and competition policy, with a current focus on algorithmic pricing and platform markets, as well as mergers, damages, vertical restraints, and exclusionary conduct. His work has appeared in leading economics and law journals, including the RAND Journal of Economics, the Review of Economic Studies, Management Science, and the Journal of Human Resources. He received his Ph.D. in Economics from Northwestern University and previously served on the faculties of the Ohio State University and the University of Florida, where he was Associate Director of the Robert F. Lanzillotti Public Policy Research Center.

Two Questions Determine Whether a Pricing Algorithm Becomes Evidence of Price Fixing

Two recent court rulings on casino-hotels using a shared software to fix prices reveal the importance of information exchanges as a super plus factor: an indicator of illegal conspiracy to limit trade. Roger D. Blair and Javier D. Donna discuss how these court cases and other recent lawsuits elucidate the role of the information exchange and the two vectors that determine its strength as a plus factor: data sensitivity and a give-to-get understanding among firms that if they shared their data, competitors would do the same.

Rivals’ Exit Should Be Incorporated into the Guidelines for Vertical Merger Evaluation

An exit-inducing vertical merger might reduce welfare even if it is a welfare-enhancing vertical merger absent exit. Therefore, the possibility for rivals’ exit should be incorporated into the guidelines for vertical merger evaluation, write Javier D. Donna and Pedro Pereira in new research.

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