TY - JOUR
T1 - Truthful ownership transfer with expert advice
AU - Caragiannis, Ioannis
AU - Filos-Ratsikas, Aris
AU - Nath, Swaprava
AU - Voudouris, Alexandros A.
N1 - Funding Information:
This work was partially supported by COST Action CA 16228 “European Network for Game Theory”, by a Ph.D. scholarship from the Onassis Foundation, by the ERC Advanced Grant 321171 (ALGAME), by the ERC Grant 639945 (ACCORD), by the Swiss National Science Foundation under contract number 200021_165522, and by the IIT Kanpur Grant IITK/CS/2017198.
Publisher Copyright:
© 2022, The Author(s).
PY - 2024/1/1
Y1 - 2024/1/1
N2 - When a company undergoes a merger or transfers its ownership, the existing governing body has an opinion on which buyer should take over as the new owner. Similar situations occur while assigning the host of big sports tournaments, like the World Cup or the Olympics. In all these settings, the values of the external bidders are as important as the opinions of the internal experts. Motivated by such scenarios, we consider a social welfare maximizing approach to design and analyze truthful mechanisms in hybrid social choice settings, where payments can be imposed to the bidders, but not to the experts. Since this problem is a combination of mechanism design with and without monetary transfers, classical solutions like VCG cannot be applied, making this a novel mechanism design problem. We consider the simple but fundamental scenario with one expert and two bidders, and provide tight approximation guarantees of the optimal social welfare. We distinguish between mechanisms that use ordinal and cardinal information, as well as between mechanisms that base their decisions on one of the two sides (either the bidders or the expert) or both. Our analysis shows that the cardinal setting is quite rich and admits several non-trivial randomized truthful mechanisms, and also allows for closer-to-optimal welfare guarantees.
AB - When a company undergoes a merger or transfers its ownership, the existing governing body has an opinion on which buyer should take over as the new owner. Similar situations occur while assigning the host of big sports tournaments, like the World Cup or the Olympics. In all these settings, the values of the external bidders are as important as the opinions of the internal experts. Motivated by such scenarios, we consider a social welfare maximizing approach to design and analyze truthful mechanisms in hybrid social choice settings, where payments can be imposed to the bidders, but not to the experts. Since this problem is a combination of mechanism design with and without monetary transfers, classical solutions like VCG cannot be applied, making this a novel mechanism design problem. We consider the simple but fundamental scenario with one expert and two bidders, and provide tight approximation guarantees of the optimal social welfare. We distinguish between mechanisms that use ordinal and cardinal information, as well as between mechanisms that base their decisions on one of the two sides (either the bidders or the expert) or both. Our analysis shows that the cardinal setting is quite rich and admits several non-trivial randomized truthful mechanisms, and also allows for closer-to-optimal welfare guarantees.
KW - Mechanism design
KW - Social choice
KW - Ownership transfer
KW - Approximation
U2 - 10.1007/s10107-022-01834-3
DO - 10.1007/s10107-022-01834-3
M3 - Article
SN - 1436-4646
VL - 203
SP - 871
EP - 900
JO - Mathematical programming
JF - Mathematical programming
ER -