The Limits of Interval-Regulated Price Discrimination
Kamesh Munagala, Yiheng Shen, Renzhe Xu
TL;DR
This paper analyzes third-degree price discrimination under interval-based regulation, introducing passive and active intermediary models where a regulator constrains prices to a contiguous set $F$ of valuations. It proves that, for any feasible $F$, there exists market-segmentation schemes that preserve the unregulated uniform-price revenue for the seller while transferring the remaining surplus to buyers, and it fully characterizes the achievable CS–PS region as a right triangle with three algebraically defined extreme points. The authors develop three distinct segmentation constructions (one each for maximizing producer surplus, maximizing consumer surplus, and minimizing social welfare) and show how convex combinations yield any point within the region; they also extend the results to the active intermediary setting, where the regulator directly enforces prices within $F$. Collectively, the results provide a principled framework for the fairness-efficiency trade-offs inherent in interval-regulated price discrimination and offer constructive methods for regulator-friendly implementations in platforms and markets. The work advances the understanding of how pricing regulation interacts with optimal signaling and market segmentation to shape welfare outcomes.
Abstract
In this paper, we study third-degree price discrimination in a model first presented by Bergemann, Brooks, and Morris [2015]. Since such price discrimination might create market segments with vastly different posted prices, we consider regulating these prices, specifically, by restricting them to lie within an interval. Given a price interval, we consider segmentations of the market where a seller, who is oblivious to the existence of such regulation, still posts prices within the price interval. We show the following surprising result: For any market and price interval where such segmentation is feasible, there is always a different segmentation that optimally transfers all excess surplus to the consumers. In addition, we characterize the entire space of buyer and seller surplus that is achievable by such segmentation, including maximizing seller surplus, and simultaneously minimizing buyer and seller surplus. A key technical challenge is that the classical segmentation method of Bergemann, Brooks, and Morris [2015] fails under price constraints. To address this, we develop three intuitive but fundamentally distinct segmentation constructions, each tailored to a different surplus objective. These constructions maintain different invariants, reflect different economic intuitions, and collectively form the core of our regulated surplus characterization.
