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Pricing for Electronic Commerce

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  • Dale Stahl

    ()
    (The University of Texas at Austin)

Abstract

Perhaps the greatest technological innovation of the next several decades will be universal access and utilization of the Internet. Already congestion is becoming a serious impediment to efficient utilization. We introduce a stochastic equilibrium concept for a general mathematical model of the Internet, and demonstrate that the efficient social welfare maximizing stochastic allocation of Internet traffic can be supported by optimal congestion prices. We further demonstrate via simulation modelling that approximately optimal prices can be readily computed and implemented in a decentralized system. We further propose simulation modeling to study the impact of private strategic pricing and public policies.

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Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 1996 with number _054.

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Handle: RePEc:sce:scecf6:_054

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  1. Mackie-Mason, J.K. & Varian, H.R., 1993. "Pricing the Internet," Memorandum 20/1993, Oslo University, Department of Economics.
  2. Hau Leung Lee & Morris A. Cohen, 1985. "Multi-Agent Customer Allocation in a Stochastic Service System," Management Science, INFORMS, vol. 31(6), pages 752-763, June.
  3. Naor, P, 1969. "The Regulation of Queue Size by Levying Tolls," Econometrica, Econometric Society, vol. 37(1), pages 15-24, January.
  4. Stahl, Dale II, 1986. "Stochastic decentralization of competitive allocations," Economics Letters, Elsevier, vol. 22(2-3), pages 111-113.
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