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2015 | OriginalPaper | Buchkapitel

8. Combinatorial Auction Models

verfasst von : Asunción Mochón, Yago Sáez

Erschienen in: Understanding Auctions

Verlag: Springer International Publishing

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Abstract

Combinatorial auctions (CAs) are characterized by offering multiple related items and allowing the bidders to bid for the items or combinations of items in which they are interested. When a combinatorial auction is being designed, the seller must set up all the details, such as: dynamic or sealed-bid (single-round), pricing rule, activity rule, and starting price. Given the wide spectrum of possibilities, in this chapter, we will only focus on analyzing a few of these models in which the first-price rule will be applied.

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Fußnoten
1
A similar rule was applied in the French auction of radio spectrum in 2011.
 
2
Parkers [63] studies the characteristics of the main models of ICAs. In this chapter, we will only focus on a subset of these models.
 
3
The simultaneous ascending auction (SAA) that we analyze in Chap. 5 could be considered to be an ICA if package bidding throughout the different rounds were allowed.
 
4
For more information regarding this auction model, see [9].
 
5
The proxy bidder can be either the seller or an electronic proxy bidder.
 
6
The preferences communicated by bidder i to his proxy bidder for each item, \(v_{i}^{\mathrm{proxy}}(S)\), do not necessarily have to coincide with their true values, v i (S).
 
7
For the specific case of a single item, this model is similar to auctions conducted on the Internet, in which the bidder indicates the maximum bid that he is willing to submit, and the system automatically updates the bids as long as the maximum bid is higher than the actual bid, and the bidder is not the provisional winner.
 
8
Items within the same category are homogeneous items and heterogeneous among categories.
 
9
Throughout the entire clock phase and in the transition to the proxy phase, the seller may establish an activity rule to encourage the bidders to bid according to their true preferences from the beginning of the auction. One option is to select an activity rule that presents monotonicity in quantity, which implies that as the price increases, the demanded quantity cannot increase. A weaker activity rule is monotonicity of aggregate quantity across a group of items, such that the aggregate quantity demanded cannot increase as the price increases, which allows shifting quantities among products (this is the eligibility-based activity rule described in Chap. 5). However, the activity rule proposed by the inventors of this model is the revealed-preference activity rule because it gives more flexibility to the bidders when there are substitutes and complements items. For more details regarding this rule, see the appendix at the end of this chapter or [8].
 
10
The proxy phase with mandatory proxy bidding (bidders not allowed to change their reported preferences) is observationally equivalent to a sealed-bid auction, see [8].
 
11
Mochon et al. [55] analyzed the possible outcomes obtained when using this auction model to allocate radio spectrum licenses by means of genetic algorithms.
 
12
Different governments have used this auction mechanism to award spectrum licenses: Switzerland (2012), United Kingdom (2012), or Canada (2013).
 
13
The seller can set a limit on the maximum amount of the supplementary bids of each bidder based on his clock rounds bidding. Thus bidders have incentives to bid according to their true values throughout the auction.
 
14
We assume that according to the activity rule, the eligibility of round t equals the activity of round t − 1.
 
Literatur
8.
Zurück zum Zitat L.M. Ausubel, P. Cramton, and P. Milgrom. The clock-proxy auction: A practical combinatorial auction design. In P. Cramton, Y. Shoham, and R. Steinberg, editors, Combinatorial Auctions, pages 115–138. The MIT Press, 2006. L.M. Ausubel, P. Cramton, and P. Milgrom. The clock-proxy auction: A practical combinatorial auction design. In P. Cramton, Y. Shoham, and R. Steinberg, editors, Combinatorial Auctions, pages 115–138. The MIT Press, 2006.
9.
Zurück zum Zitat L.M. Ausubel and P. Milgrom. Ascending proxy auctions. In P. Cramton, Y. Shoham, and R. Steinberg, editors, Combinatorial Auctions, pages 79–98. The MIT Press, 2006. L.M. Ausubel and P. Milgrom. Ascending proxy auctions. In P. Cramton, Y. Shoham, and R. Steinberg, editors, Combinatorial Auctions, pages 79–98. The MIT Press, 2006.
55.
Zurück zum Zitat A. Mochon, Y. Saez, J.L. Gomez-Barroso, and P. Isasi. The clock proxy auction for allocating radio spectrum licenses. Computational Economics, 37(4):411–431, 2011.CrossRef A. Mochon, Y. Saez, J.L. Gomez-Barroso, and P. Isasi. The clock proxy auction for allocating radio spectrum licenses. Computational Economics, 37(4):411–431, 2011.CrossRef
63.
Zurück zum Zitat D. Parkes. Iterative combinatorial auctions. In P. Cramton, Y. Shoham, and R. Steinberg, editors, Combinatorial Auctions, pages 41–78. The MIT Press, 2006. D. Parkes. Iterative combinatorial auctions. In P. Cramton, Y. Shoham, and R. Steinberg, editors, Combinatorial Auctions, pages 41–78. The MIT Press, 2006.
Metadaten
Titel
Combinatorial Auction Models
verfasst von
Asunción Mochón
Yago Sáez
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-08813-6_8