Title
Dynamic Mechanism Design with Budget-Constrained Buyers Under Limited Commitment
Abstract
AbstractWe study the dynamic mechanism design problem of a seller who repeatedly auctions independent items over a discrete time horizon to buyers who face a cumulative budget constraint. A driving motivation behind our model is the emergence of real-time bidding markets for online display advertising in which such budgets are prevalent. We assume the seller has a strong form of limited commitment: she commits to the rules of the current auction but cannot commit to those of future auctions. We show that the celebrated Myersonian approach that leverages the envelope theorem fails in this setting, and therefore, characterizing the dynamic optimal mechanism seems intractable. Despite these challenges, we derive and characterize a near-optimal dynamic mechanism. To do so, we show that the Myersonian approach is recovered in a corresponding fluid continuous time model in which the time interval between consecutive items becomes negligible. Then we leverage this approach to characterize the optimal dynamic direct-revelation mechanism, highlighting novel incentives at play in settings with buyers’ budget constraints and seller’s limited commitment. We show through a combination of theoretical and numerical results that the optimal mechanism arising from the fluid continuous time model approximately satisfies incentive compatibility for the buyers and is approximately sequentially rational for the seller in the original discrete time model.Supplemental material is available at https://doi.org/10.1287/opre.2018.1830.
Year
DOI
Venue
2019
10.1287/opre.2018.1830
Periodicals
Keywords
Field
DocType
dynamic mechanism design,limited commitment,budget constraints,fluid approximation,display advertising,internet auctions,revenue management
Revenue management,Mathematical optimization,Budget constraint,Internet auctions,Display advertising,Mechanism design,Common value auction,Discrete time and continuous time,Mathematics
Journal
Volume
Issue
ISSN
67
3
0030-364X
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Santiago R. Balseiro1737.93
Omar Besbes230517.53
Gabriel Y. Weintraub318719.29