If you shop online, there’s a good chance the price you pay for stuff is determined by a computer algorithm, reported the Wall Street Journal. As of 2015, over one third of the 1,600 best-selling items sold on Amazon came from sellers who used algorithms to set their price.
Emilio Calvano, an economist at the University of Bologna in Italy, has been studying the economic effects of algorithms. In 2016, he hopped on a scooter with his colleague Giacomo Calzolari and scooted across the historic city to their university’s computer science department.
To prove that the algorithms were colluding and not just randomly landing, in unison, on inflated prices, the researchers forced one algorithm in each simulation to cut its price. The algorithms then engaged in a price war, but eventually returned together to higher prices.
The study, published in December by the Centre for Economic Policy Research, is an important advance in the literature on pricing algorithms, says Joseph Harrington, a professor of business economics and public policy at the University of Pennsylvania’s Wharton School.
“It was a study I was hoping to see,” he says. “This work is the first step toward establishing that algorithms can collude in reasonably complex environments.”
The Wall Street Journal concluded that the researchers are aware of such concerns and are currently at work on a paper that seeks to address policy issues associated with algorithmic collusion.
Want more news? Subscribe to CPI’s free daily newsletter for more headlines and updates on antitrust developments around the world
Featured News
Electrolux Fined €44.5 Million in French Antitrust Case
Dec 19, 2024 by
CPI
Indian Antitrust Body Raids Alcohol Giants Amid Price Collusion Probe
Dec 19, 2024 by
CPI
Attorneys Seek $525 Million in Fees in NCAA Settlement Case
Dec 19, 2024 by
CPI
Italy’s Competition Watchdog Ends Investigation into Booking.com
Dec 19, 2024 by
CPI
Minnesota Judge Approves $2.4 Million Hormel Settlement in Antitrust Case
Dec 19, 2024 by
CPI
Antitrust Mix by CPI
Antitrust Chronicle® – CRESSE Insights
Dec 19, 2024 by
CPI
Effective Interoperability in Mobile Ecosystems: EU Competition Law Versus Regulation
Dec 19, 2024 by
Giuseppe Colangelo
The Use of Empirical Evidence in Antitrust: Trends, Challenges, and a Path Forward
Dec 19, 2024 by
Eliana Garces
Some Empirical Evidence on the Role of Presumptions and Evidentiary Standards on Antitrust (Under)Enforcement: Is the EC’s New Communication on Art.102 in the Right Direction?
Dec 19, 2024 by
Yannis Katsoulacos
The EC’s Draft Guidelines on the Application of Article 102 TFEU: An Economic Perspective
Dec 19, 2024 by
Benoit Durand