Pareto-Improving Data-Sharing
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Abstract (arXiv)
We study the effects of data sharing between firms on prices, profits, and consumer welfare. Although indiscriminate sharing of consumer data decreases firm profits due to the subsequent increase in competition, selective sharing can be beneficial. We show that there are data-sharing mechanisms that are strictly Pareto-improving, simultaneously increasing firm profits and consumer welfare. Within the class of Pareto-improving mechanisms, we identify one that maximizes firm profits and one that maximizes consumer welfare.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 May 2022.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 1.
3 papers.
- 2022Fundamentals of Task-Agnostic Data Valuationcited by 19
- 2024Prediction-sharing During Training and Inferencecited by 1
- 2025Data Sharing with a Generative AI Competitorcited by 0
- 2025Data Sharing with a Generative AI Competitor18 May 2025
- 2024Prediction-sharing During Training and Inference26 Mar 2024
- 2022Fundamentals of Task-Agnostic Data Valuation25 Aug 2022