Pricing commodities

  • Authors:
  • Robert Krauthgamer;Aranyak Mehta;Atri Rudra

  • Affiliations:
  • Weizmann Institute of Science, Rehovot, Israel;Google, Inc., Mountain View, CA, USA;University at Buffalo, The State University of New York, Buffalo, NY, USA

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2011

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Abstract

How should a seller price her goods in a market where each buyer prefers a single good among his desired goods, and will buy the cheapest such good, as long as it is within his budget? We provide efficient algorithms that compute near-optimal prices for this problem, focusing on a commodity market, where the range of buyer budgets is small. We also show that our LP rounding based technique easily extends to a different scenario, in which the buyers want to buy all the desired goods, as long as they are within budget.