A Simple and Efficient Algorithm for Computing Market Equilibria

Author:

Fleischer Lisa1,Garg Rahul2,Kapoor Sanjiv3,Khandekar Rohit2,Saberi Amin4

Affiliation:

1. Dartmouth College, NH, USA

2. IBM Thomas J. Watson Research Center

3. Illinois Institute of Technology, IL, USA

4. Stanford University, CA, USA

Abstract

We give a new mathematical formulation of market equilibria in exchange economies using an indirect utility function : the function of prices and income that gives the maximum utility achievable. The formulation is a convex program and can be solved when the indirect utility function is convex in prices. We illustrate that many economies, including: —Homogeneous utilities of degree α ∈ [0, 1] in Fisher economies—this includes Linear, Leontief, Cobb-Douglas Resource allocation utilities like multi-commodity flows satisfy this condition and can be efficiently solved. Further, we give a natural tâtonnement type price-adjusting algorithm in these economies. Our algorithm, which is applicable to a larger class of utility functions than previously known weak gross substitutes , mimics the natural dynamics for the markets as suggested by Walras: it iteratively adjusts a good’s price upward when the demand for that good under current prices exceeds its supply; and downward when its supply exceeds its demand. The algorithm computes an approximate equilibrium in a number of iterations that is independent of the number of traders and is almost linear in the number of goods.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Mathematics (miscellaneous)

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