Abstract

Identical products being sold at different prices in different locations is a common phenomenon. Price differences might occur due to various reasons such as shipping costs, trade restrictions and price discrimination. To model such scenarios, we supplement the classical Fisher model of a market by introducing {\em transaction costs}. For every buyer ii and every good jj, there is a transaction cost of $\cij$; if the price of good jj is pjp_j, then the cost to the buyer ii {\em per unit} of jj is $p_j + \cij$. This allows the same good to be sold at different (effective) prices to different buyers. We provide a combinatorial algorithm that computes εε-approximate equilibrium prices and allocations in O(1ε(n+log⁡m)mnlog⁡(B/ε))O\left(\frac{1}ε(n+\log{m})mn\log(B/ε)\right) operations - where mm is the number goods, nn is the number of buyers and BB is the sum of the budgets of all the buyers.

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