Selling Data to a Competitor
Computer Science and Game Theory
2023-02-02 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.2302.00285,
title = {Selling Data to a Competitor},
author = {Ronen Gradwohl and Moshe Tennenholtz},
journal= {arXiv preprint arXiv:2302.00285},
year = {2023}
}
Comments
arXiv admin note: text overlap with arXiv:2205.11295