How to Sell Hard Information
S. Nageeb Ali, Nima Haghpanah, Xiao Lin, Ron Siegel

TL;DR
This paper examines how an intermediary designs and sells noisy tests for hard information about asset value to maximize revenue, often charging for disclosure without social value creation.
Contribution
It reveals that robust revenue maximization leads to noisy tests with exponential score distributions and that intermediaries charge for disclosure but not testing.
Findings
Intermediaries prefer noisy tests over accurate ones for revenue maximization.
Test scores are distributed exponentially, providing no social value.
Intermediaries charge sellers for disclosure, capturing surplus.
Abstract
The seller of an asset has the option to buy hard information about the value of the asset from an intermediary. The seller can then disclose the acquired information before selling the asset in a competitive market. We study how the intermediary designs and sells hard information to robustly maximize her revenue across all equilibria. Even though the intermediary could use an accurate test that reveals the asset's value, we show that robust revenue maximization leads to a noisy test with a continuum of possible scores that are distributed exponentially. In addition, the intermediary always charges the seller for disclosing the test score to the market, but not necessarily for running the test. This enables the intermediary to robustly appropriate a significant share of the surplus resulting from the asset sale even though the information generated by the test provides no social value.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
