Optimal Dynamic Mechanism Design and the Virtual-Pivot Mechanism
Sham M. Kakade (),
Ilan Lobel () and
Hamid Nazerzadeh ()
Additional contact information
Sham M. Kakade: Microsoft Research New England, Cambridge, Massachusetts 02142
Ilan Lobel: Stern School of Business, New York University, New York, New York 10012
Hamid Nazerzadeh: Marshall School of Business, University of Southern California, Los Angeles, California 90089
Operations Research, 2013, vol. 61, issue 4, 837-854
Abstract:
We consider the problem of designing optimal mechanisms for settings where agents have dynamic private information. We present the virtual-pivot mechanism, which is optimal in a large class of environments that satisfy a separability condition. The mechanism satisfies a rather strong equilibrium notion (it is periodic ex post incentive compatible and individually rational). We provide both necessary and sufficient conditions for immediate incentive compatibility for mechanisms that satisfy periodic ex post incentive compatibility in future periods. The result also yields a strikingly simple mechanism for selling a sequence of items to a single buyer. We also show that the allocation rule of the virtual-pivot mechanism has a very simple structure (a virtual index) in multiarmed bandit settings. Finally, we show through examples that the relaxation technique we use does not produce optimal dynamic mechanisms in general nonseparable environments.
Keywords: optimal mechanism design; dynamic mechanisms; dynamic private information; online advertising; sponsored search (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (52)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.2013.1194 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:61:y:2013:i:4:p:837-854
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().