Peaches, lemons, and cookies: Designing auction markets with dispersed information

B-Tier
Journal: Games and Economic Behavior
Year: 2020
Volume: 124
Issue: C
Pages: 454-477

Authors (4)

Abraham, Ittai (not in RePEc) Athey, Susan (Stanford University) Babaioff, Moshe (not in RePEc) Grubb, Michael D. (Boston College)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We study how ex ante information asymmetries affect revenue in common-value second-price auctions, motivated by online advertising auctions where “cookies” inform individual advertisers about advertising opportunities. We distinguish information structures in which cookies identify “lemons” (low-value impressions) from those in which cookies identify “peaches” (high-value impressions). As this setting features multiple Nash equilibria, we introduce a new refinement, “tremble robust equilibrium” (TRE) and characterize the unique TRE in first-price and second-price common-value auctions with two bidders who each receive a binary signal. We find that common-value second-price auction revenues are vulnerable to ex ante information asymmetry if relatively rare cookies identify lemons, but not if they identify peaches. First-price auction revenues are substantially higher than second-price auction revenues under these conditions. Extensions show that these insights are robust.

Technical Details

RePEc Handle
repec:eee:gamebe:v:124:y:2020:i:c:p:454-477
Journal Field
Theory
Author Count
4
Added to Database
2026-01-24