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Robust price discrimination

Research output: Contribution to journal › Article › peer-review

Abstract

We consider a model of third-degree price discrimination where the seller's product valuation is unknown to the market designer, who aims to maximize buyer surplus by revealing buyer valuation information. Our main result shows that the regret is bounded by a [Formula presented]-fraction of the optimal buyer surplus when the seller has zero valuation for the product. This bound is attained by randomly drawing a seller valuation and applying the segmentation of Bergemann et al. (2015) with respect to the drawn valuation. We show that this bound is tight in the case of binary buyer valuation.

Original languageEnglish
Pages (from-to)377-395
Number of pages19
JournalGames and Economic Behavior
Volume154
DOIs
StatePublished - Dec 2025

Keywords

  • Bayesian persuasion
  • Game theory
  • Information design
  • Price discrimination
  • Robustness

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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