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Multiagent System Simulations of Signal Averaging in English Auctions with Two-Dimensional Value Signals

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Abstract

This study uses a multiagent system to investigate English auctions with two-dimensional value signals and agents that learn a signal-averaging factor. I find that signal averaging increases nonlinearly as the common value percent increases, decreases with the number of bidders, and decreases at high common value percents when the common value signal is more uncertain. Using signal averaging, agents increase their profit when the value is more uncertain. The most obvious effect of signal averaging is on reducing the percentage of auctions won by bidders with the highest common value signal.

Suggested Citation

  • Alan Mehlenbacher, 2007. "Multiagent System Simulations of Signal Averaging in English Auctions with Two-Dimensional Value Signals," Department Discussion Papers 0708, Department of Economics, University of Victoria.
  • Handle: RePEc:vic:vicddp:0708
    Note: ISSN 1914-2838
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    File URL: http://www.uvic.ca/socialsciences/economics/assets/docs/discussion/ddp0708.pdf
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    References listed on IDEAS

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    1. Ockenfels, Axel & Selten, Reinhard, 2005. "Impulse balance equilibrium and feedback in first price auctions," Games and Economic Behavior, Elsevier, vol. 51(1), pages 155-170, April.
    2. Levin, Dan & Kagel, John H & Richard, Jean-Francois, 1996. "Revenue Effects and Information Processing in English Common Value Auctions," American Economic Review, American Economic Association, vol. 86(3), pages 442-460, June.
    3. Neugebauer, Tibor & Selten, Reinhard, 2006. "Individual behavior of first-price auctions: The importance of information feedback in computerized experimental markets," Games and Economic Behavior, Elsevier, vol. 54(1), pages 183-204, January.
    4. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Sealed-Bid Auctions with Two-Dimensional Value Signals," Department Discussion Papers 0707, Department of Economics, University of Victoria.
    5. Reinhard Selten & Klaus Abbink & Ricarda Cox, 2005. "Learning Direction Theory and the Winner’s Curse," Experimental Economics, Springer;Economic Science Association, vol. 8(1), pages 5-20, April.
    6. Kagel, John H & Harstad, Ronald M & Levin, Dan, 1987. "Information Impact and Allocation Rules in Auctions with Affiliated Private Values: A Laboratory Study," Econometrica, Econometric Society, vol. 55(6), pages 1275-1304, November.
    7. Theo Offerman, 2002. "Efficiency in Auctions with Private and Common Values: An Experimental Study," American Economic Review, American Economic Association, vol. 92(3), pages 625-643, June.
    8. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    9. Selten, Reinhard & Joachim Buchta, 1994. "Experimental Sealed Bid First Price Auctions with Directly Observed Bid Functions," Discussion Paper Serie B 270, University of Bonn, Germany.
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    Cited by:

    1. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    2. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Treasury Auctions," Department Discussion Papers 0709, Department of Economics, University of Victoria.

    More about this item

    Keywords

    Axiomatic bargaining; resource monotonicity; transferable utility; risk aversion;

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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