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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.

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    Bibliographic Info

    Paper provided by Department of Economics, University of Victoria in its series Department Discussion Papers with number 0708.

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    Length: 38 pages
    Date of creation: 19 Nov 2007
    Date of revision:
    Handle: RePEc:vic:vicddp:0708

    Note: ISSN 1914-2838
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    Related research

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

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    1. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    2. 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.
    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. Reinhard Selten & Klaus Abbink & Ricarda Cox, 2005. "Learning Direction Theory and the Winner’s Curse," Experimental Economics, Springer, vol. 8(1), pages 5-20, April.
    5. 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.
    6. 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.
    7. 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 442-60, June.
    8. Axel Ockenfels & Reinhard Selten, 2004. "Impulse Balance Equilibrium and Feedback in First Price Auctions," Working Paper Series in Economics 7, University of Cologne, Department of Economics.
    9. 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.
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    Cited by:
    1. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Treasury Auctions," Department Discussion Papers 0709, Department of Economics, University of Victoria.
    2. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.

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