Vidal's libraryTitle: | Auctions with Endogenously Determined Allowable Combinations |
Author: | Sunju Park and Michael H. Rothkopf |
Institution: | Rutgets Center for Operations Research |
Month: | January |
Year: | 2001 |
Abstract: | Combinatorial auctions are desirable as they enable bidders to express the synergistic values of a group of assets and thus may lead to better allocations. Compared to other auctions, they keep bidders from being exposed to risks (of receiving only parts of combinations that would be valuable to them) or from being overly cautious (in order to minimize such risks). However, determining the optimal winning combination in a general combinatorial auction is computationally intractable, and this is sometimes given as a reason for not using combinatorial auctions. To insure computational tractability, a bid taker might try to limit the kinds of allowable combinations, but bidders may disagree on what combinations should be allowed, and this may make limiting the allowable combinations politically infeasible. This paper proposes and tests successfully a new approach to managing the computational complexity of determining the winning combination. The main idea is to let bidders determine and prioritize the allowable combinations. Using endogenously determined combinations has two nice properties. First, by delegating the decision on what is biddable to the bidders who know what combinations are important to them, the bid taker is able to be (and appear) fair. Second, bidder prioritization of combinations assures that the economically most important combinations are included in determining the winning set of bids even when the bid taker is not able to use all the combinations submitted by bidders. |
Cited by 6 - Google Scholar
@TechReport{park01a,
author = {Sunju Park and Michael H. Rothkopf},
title = {Auctions with Endogenously Determined Allowable
Combinations},
institution = {Rutgets Center for Operations Research},
year = 2001,
month = {January},
note = {{RRR} 3-2001},
abstract = {Combinatorial auctions are desirable as they enable
bidders to express the synergistic values of a group
of assets and thus may lead to better
allocations. Compared to other auctions, they keep
bidders from being exposed to risks (of receiving
only parts of combinations that would be valuable to
them) or from being overly cautious (in order to
minimize such risks). However, determining the
optimal winning combination in a general
combinatorial auction is computationally
intractable, and this is sometimes given as a reason
for not using combinatorial auctions. To insure
computational tractability, a bid taker might try to
limit the kinds of allowable combinations, but
bidders may disagree on what combinations should be
allowed, and this may make limiting the allowable
combinations politically infeasible. This paper
proposes and tests successfully a new approach to
managing the computational complexity of determining
the winning combination. The main idea is to let
bidders determine and prioritize the allowable
combinations. Using endogenously determined
combinations has two nice properties. First, by
delegating the decision on what is biddable to the
bidders who know what combinations are important to
them, the bid taker is able to be (and appear)
fair. Second, bidder prioritization of combinations
assures that the economically most important
combinations are included in determining the winning
set of bids even when the bid taker is not able to
use all the combinations submitted by bidders.},
keywords = {economics combinatorial auctions multiagent},
url = {http://jmvidal.cse.sc.edu/library/park01a.pdf},
googleid = {PqsShhd0UZ0J:scholar.google.com/},
cluster = {11335969381450689342}
}
Last modified: Wed Mar 9 10:15:16 EST 2011