|
ABSTRACT
When donating money to a (say, charitable) cause, it is possible touse the contemplated donation as negotiating material to induce other parties interested in the charity to donate more. Such negotiation is usually done in terms of matching offers, where one party promises to pay a certain amount if others pay a certain amount. However, in their current form, matching offers allow for only limited negotiation. For one, it is not immediately clear how multiple parties can make matching offers at the same time without creating circular dependencies. Also, it is not immediately clear how to make adonation conditional on other donations to multiple charities, when the donator has different levels of appreciation for the different charities. In both these cases, the limited expressiveness of matching offers causes economic loss: it may happen that an arrangement that would have made all parties (donators as well as charities) better off cannot be expressed in terms of matching offers and will therefore notoccur.In this paper, we introduce a bidding language for expressing very general types of matching offers over multiple charities. We formulate the corresponding clearing problem (deciding how much each bidder pays, and how much each charity receives), and show that it is NP-complete to approximate to any ratio even in very restricted settings. We givea mixed-integer program formulation of the clearing problem, and show that for concave bids, the program reduces to a linear program. We then show that the clearing problem for a subclass of concave bids is at least as hard as the decision variant of linear programming. Subsequently, we show that the clearing problem is much easier when bids are quasilinear---for surplus, the problem decomposes across charities, and for payment maximization, a greedy approach isoptimal if the bids are concave (although this latter problem is weakly NP-complete when the bids are not concave). For the quasilinear setting, we study the mechanism design question. We show that anex-post efficient mechanism is impossible even with only one charity and a very restricted class of bids. We also show that there may bebenefits to linking the charities from a mechanism design stand point.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
K. Arrow. The property rights doctrine and demand revelation under incomplete information. In M. Boskin, editor, Economics and human welfare. New York Academic Press, 1979.
|
| |
2
|
L. M. Ausubel and P. Milgrom. Ascending auctions with package bidding. Frontiers of Theoretical Economics, 1, 2002. No. 1, Article 1.
|
 |
3
|
|
| |
4
|
E. H. Clarke. Multipart pricing of public goods.Public Choice, 11:17--33,1971.
|
| |
5
|
V. Conitzer and T. Sandholm. Complexity of mechanism design. In Proceedings of the 18th Annual Conference on Uncertainty in Artificial Intelligence (UAI-02), pages 103--110,Edmonton, Canada, 2002.
|
| |
6
|
C. d 'Aspremont and L. A. Gérard-Varet. Incentives and incomplete information. Journal of Public Economics, 11:25--45, 1979.
|
| |
7
|
M. R. Garey, D. S. Johnson, and L. Stockmeyer. Some simplified NP-complete graph problems. Theoretical Computer Science, 1:237--267, 1976.
|
| |
8
|
D. Goldburg and S. McElligott. Red cross statement on official donation locations. 2001. Press release, http://www.redcross.org/press/disaster/ds_pr/011017legitdonors.html.
|
 |
9
|
|
| |
10
|
T. Groves. Incentives in teams. Econometrica, 41:617--631,1973.
|
| |
11
|
L. Khachiyan. A polynomial algorithm in linear programming. Soviet Math.Doklady, 20:191--194, 1979.
|
| |
12
|
|
 |
13
|
|
| |
14
|
A. Mas-Colell, M. Whinston, and J. R. Green. Microeconomic Theory. Oxford University Press, 1995.
|
| |
15
|
R. Myerson and M. Satterthwaite. Efficient mechanisms for bilateral trading. Journal of Economic Theory, 28:265--281,1983.
|
| |
16
|
|
 |
17
|
|
 |
18
|
|
 |
19
|
|
| |
20
|
|
| |
21
|
|
| |
22
|
T. Sandholm, S. Suri, A. Gilpin, and D. Levine. CABOB: A fast optimal algorithm for combinatorial auctions.In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI),pages 1102--1108,Seattle,WA, 2001.
|
| |
23
|
J. Tagliabue. Global AIDS Funds Is Given Attention, but Not Money. The New York Times, June 1, 2003. Reprinted on http://www.healthgap.org/press releases/a03/060103 NYT HGAP G8 fund.html.
|
| |
24
|
W. Vickrey. Counterspeculation, auctions, and competitive sealed tenders. Journal of Finance, 16:837,1961.
|
 |
25
|
Peter R. Wurman , Michael P. Wellman, AkBA: a progressive, anonymous-price combinatorial auction, Proceedings of the 2nd ACM conference on Electronic commerce, p.21-29, October 17-20, 2000, Minneapolis, Minnesota, United States
[doi> 10.1145/352871.352874]
|
| |
26
|
M.Yokoo.The characterization of strategy/false-name proof combinatorial auction protocols:Price-oriented, rationing-free protocol.In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI),Acapulco,Mexico,Aug. 2003.
|
CITED BY 3
|
|
|
|
|
|
Jeremy Goecks , Amy Voida , Stephen Voida , Elizabeth D. Mynatt, Charitable technologies: opportunities for collaborative computing in nonprofit fundraising, Proceedings of the ACM 2008 conference on Computer supported cooperative work, November 08-12, 2008, San Diego, CA, USA
|
|