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Auction algorithms for market equilibrium
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Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-sixth annual ACM symposium on Theory of computing table of contents
Chicago, IL, USA
SESSION: Session 14B table of contents
Pages: 511 - 518  
Year of Publication: 2004
ISBN:1-58113-852-0
Authors
Rahul Garg  IBM India Research Lab., Hauz Khas, New Delhi, INDIA
Sanjiv Kapoor  Illinois Institute of Technology, Chicago, IL
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper we study algorithms for computing market equilibrium in markets with linear utility functions. The buyers in the market have an initial endowment given by a portfolio of items. The market equilibrium problem is to compute a price vector which ensures market clearing, i. e. the demand of a good equals its supply, and given the prices, each buyer maximizes its utility. The problem is of considerable interest in Economics. This paper presents a formulation of the market equilibrium problem as a parameterized linear program. We construct the dual of these parametrized linear programs. We show that finding the market equilibrium is the same as finding a linear-program from the family of programs where the optimal dual solution satisfies certain properties. The market clearing conditions arise naturally from complementary slackness conditions.We then define an auction mechanism which computes prices such that approximate market clearing is achieved. The algorithm we obtain outperforms previously known methods.


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 and G. Debreu. Existance of an equilibrium for a competitive economy. Econometrica, 22:265--290, 1954.
 
2
 
3
D. P. Bertsekas. Auction Algorithms for Network Flow Problems: A Tutorial Introduction. Computational Optimization and Applications, 1:7--66, 1992.
 
4
W. C. Brainard and H. E. Scarf. How to compute equilibrium prices in 1891. Cowles Foundation Discussion Paper (1272), 2000.
 
5
 
6
G. Demange, D. Gale, and M. Sotomayor. Multi-item Auctions. Journal of Political Economy, 94(4):863--872, 1986.
7
 
8
 
9
N. R. Devanur and V. Vazirani. An improved approximation scheme for computing the arrow-debreu prices for the linear case. In Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2003), 2003.
 
10
K. Jain, M. Mahdian, and A. Saberi. Approximating market equilibrium. In Workshop on Approximation Algorithms for Combinatorial Optimization (APPROX 2003), 2003.
 
11
H. W. Kuhn. The hungarian method for the assignment problem. Naval Research Logistics Quarterly, 2:83--97, 1955.
 
12
 
13
P. Samuelson. Foundations of economic analysis. Harward University Press, Cambridge, Mass., 1947.
 
14
L. Walras. Elements of pure economics, or the theory of social wealth (in French). Lausanne, Paris, 1874.

CITED BY  17

Collaborative Colleagues:
Rahul Garg: colleagues
Sanjiv Kapoor: colleagues