Optimal Price Discrimination for Randomized Mechanisms
Shao-Heng Ko, Kamesh Munagala

TL;DR
This paper explores how an intermediary can use signaling to enable price discrimination in bilateral trade, extending previous results to more complex settings with larger type spaces and randomized auctions.
Contribution
It introduces a novel signaling scheme for complex market settings with private budgets and randomized auctions, expanding on prior work by Bergemann et al.
Findings
Signaling can improve consumer surplus and ensure sale in certain settings.
The proposed scheme works for larger type spaces and randomized auctions.
Positive results do not extend to all private budget scenarios.
Abstract
We study the power of price discrimination via an intermediary in bilateral trade, when there is a revenue-maximizing seller selling an item to a buyer with a private value drawn from a prior. Between the seller and the buyer, there is an intermediary that can segment the market by releasing information about the true values to the seller. This is termed signaling, and enables the seller to price discriminate. In this setting, Bergemann et al. showed the existence of a signaling scheme that simultaneously raises the optimal consumer surplus, guarantees the item always sells, and ensures the seller's revenue does not increase. Our work extends the positive result of Bergemann et al. to settings where the type space is larger, and where optimal auction is randomized, possibly over a menu that can be exponentially large. In particular, we consider two settings motivated by budgets: The…
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Taxonomy
TopicsAuction Theory and Applications · Merger and Competition Analysis · Game Theory and Voting Systems
