English

Selling Data to a Competitor (Extended Abstract)

Computer Science and Game Theory 2023-07-12 v1 Theoretical Economics

Abstract

We study the costs and benefits of selling data to a competitor. Although selling all consumers' data may decrease total firm profits, there exist other selling mechanisms -- in which only some consumers' data is sold -- that render both firms better off. We identify the profit-maximizing mechanism, and show that the benefit to firms comes at a cost to consumers. We then construct Pareto-improving mechanisms, in which each consumers' welfare, as well as both firms' profits, increase. Finally, we show that consumer opt-in can serve as an instrument to induce firms to choose a Pareto-improving mechanism over a profit-maximizing one.

Keywords

Cite

@article{arxiv.2307.05078,
  title  = {Selling Data to a Competitor (Extended Abstract)},
  author = {Ronen Gradwohl and Moshe Tennenholtz},
  journal= {arXiv preprint arXiv:2307.05078},
  year   = {2023}
}

Comments

In Proceedings TARK 2023, arXiv:2307.04005. A full version of this paper, containing all proofs, appears at arXiv:2302.00285

R2 v1 2026-06-28T11:26:49.121Z