My research focuses on the process of competition in digital markets. In particular, I'm interested in how the structure of markets and the actions of individual agents combine to create emergent behaviour.

Ongoing projects

Computational Antitrust: Modeling Marketization as a Regulatory Remedy using Agent-Based Computational Economics (2021, in-progress)

I build an agent-based model to simulate how marketization changes the dynamics of monetized markets. I am able to recover stylized facts about the nature of such markets in the status quo, and model the effect of marketization should it be applied as a competition remedy.

Publications

Zero price, Zero Competition: How Marketization Fixes Anticompetitive Tying in Monetized Markets (2021, forthcoming) - Todd Davies & Zlatina Georgieva

This paper outlines why monetized (zero-priced) markets often tip towards a single dominant firm, and outlines a novel regulatory remedy by which such market failures can be prevented. This paper features in the 2021 conference for the Academic Society of Competition Law.

Winner of the Concurrences 2020 Best Student Paper award. This paper is essentially an earlier version of the paper above, and describes a structural approach to understanding market power online.