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11/22: Ali Aouad – Algorithmic Collusion in Assortment Games (in-person)

November 22 @ 3:30 pm - 4:30 pm

Joint work with Arnoud v. den Boer
 

Abstract: This paper contributes to the ongoing debate on the plausibility of tacit collusion between sellers in algorithmic marketplaces, which can be detrimental to customers and social welfare. We study a broad class of assortment decisions routinely made by sellers on online platforms, including which set of products is offered to customers, at what price, and how are they displayed. In this context, algorithmic decision-support tools are extensively studied in the operations literature and widely adopted in practice. We propose simple notions of collusive outcomes to describe an “optimal form” of collusion between sellers under full information. While computing such collusive outcomes is NP-hard, we develop a polynomial-time approximation scheme, showcasing the computational tractability afforded by our solution concept. Our main contribution is to establish that collusive outcomes can be tacitly and near-optimally reached under very limited prior market information. Surprisingly, we show that a simple variant of epsilon-greedy — a commonly used class of learn-and-earn algorithms — is able to dynamically learn a collusive outcome without any form of explicit communication that is prohibited by antitrust laws. This algorithm asymptotically attains a collusive outcome with a worst-case expected regret of O(T^{2/3}\log T) over T periods against the full-information benchmark. These findings might have ramifications for regulators’ ability to enforce antitrust policies.

Bio: Ali Aouad is an Assistant Professor at the London Business School (UK) since 2018. Ali’s primary research interests are in the areas of algorithm design and dynamic optimization with applications to retail platform, matching markets and cultural institutions. Before LBS, Ali has worked and consulted for the Marketplace Data Science Group at Uber Technologies (San Francisco). He received a PhD in Operations Research from Massachusetts Institute of Technology (MIT) in 2017. Before MIT, he earned an MS in Applied Mathematics from the Ecole Polytechnique, Paris. He was born in Meknes, Morocco.

Details

Date:
November 22
Time:
3:30 pm - 4:30 pm
Event Category:

Venue

George B. Dantzig Auditorium – 1174 Etcheverry Hall
Etcheverry Hall
Berkeley, CA 94720 United States
Phone:
510-642-6222

Organizer

Berkeley IEOR
Website:
https://ieor.berkeley.edu