IDEAS home Printed from https://ideas.repec.org/p/vic/vicddp/0706.html
   My bibliography  Save this paper

Multiagent System Platform for Auction Simulations

Author

Abstract

I have developed a multiagent system platform that provides a valuable complement to the alternative auction research methods. The platform facilitates the development of heterogeneous agents and provides an experimental environment that is under the experimenter's complete control. Simulations with alternative learning methods results in impulse balance learning as the most promising approach for auctions.

Suggested Citation

  • Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
  • Handle: RePEc:vic:vicddp:0706
    Note: ISSN 1914-2838
    as

    Download full text from publisher

    File URL: https://www.uvic.ca/socialsciences/economics/_assets/docs/discussion/ddp0706.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Seale, Darryl A. & Daniel, Terry E. & Rapoport, Amnon, 2001. "The information advantage in two-person bargaining with incomplete information," Journal of Economic Behavior & Organization, Elsevier, vol. 44(2), pages 177-200, February.
    2. 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.
    3. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721, October.
    4. Dyer, Douglas & Kagel, John H & Levin, Dan, 1989. "A Comparison of Naive and Experienced Bidders in Common Value Offer Auctions: A Laboratory Analysis," Economic Journal, Royal Economic Society, vol. 99(394), pages 108-115, March.
    5. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    6. 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.
    7. Hendricks, Kenneth & Porter, Robert H & Wilson, Charles A, 1994. "Auctions for Oil and Gas Leases with an Informed Bidder and a Random Reservation Price," Econometrica, Econometric Society, vol. 62(6), pages 1415-1444, November.
    8. Quang Vuong & Sandra Campo & Isabelle Perrigne, 2003. "Asymmetry in first-price auctions with affiliated private values," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 179-207.
    9. Tong Li & Isabelle Perrigne, 2003. "Timber Sale Auctions with Random Reserve Prices," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 189-200, February.
    10. Philip A. Haile & Han Hong & Matthew Shum, 2003. "Nonparametric Tests for Common Values in First-Price Sealed-Bid Auctions," Cowles Foundation Discussion Papers 1445, Cowles Foundation for Research in Economics, Yale University.
    11. Ohtsubo, Yohsuke & Rapoport, Amnon, 2006. "Depth of reasoning in strategic form games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(1), pages 31-47, February.
    12. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, University Library of Munich, Germany.
    13. Dakshina G. De Silva & Timothy Dunne & Georgia Kosmopoulou, 2003. "An Empirical Analysis of Entrant and Incumbent Bidding in Road Construction Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 51(3), pages 295-316, September.
    14. Kenneth Hendricks & Joris Pinkse & Robert H. Porter, 2003. "Empirical Implications of Equilibrium Bidding in First-Price, Symmetric, Common Value Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 115-145.
    15. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Treasury Auctions," Department Discussion Papers 0709, Department of Economics, University of Victoria.
    16. Atakelty Hailu & Steven Schilizzi, 2004. "Are Auctions More Efficient Than Fixed Price Schemes When Bidders Learn?," Australian Journal of Management, Australian School of Business, vol. 29(2), pages 147-168, December.
    17. Li, Tong & Perrigne, Isabelle & Vuong, Quang, 2000. "Conditionally independent private information in OCS wildcat auctions," Journal of Econometrics, Elsevier, vol. 98(1), pages 129-161, September.
    18. Andreoni James & Miller John H., 1995. "Auctions with Artificial Adaptive Agents," Games and Economic Behavior, Elsevier, vol. 10(1), pages 39-64, July.
    19. Peter Cramton & Yoav Shoham & Richard Steinberg, 2004. "Combinatorial Auctions," Papers of Peter Cramton 04mit, University of Maryland, Department of Economics - Peter Cramton, revised 2004.
    20. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    21. John H. Kagel & Dan Levin, 1999. "Common Value Auctions with Insider Information," Econometrica, Econometric Society, vol. 67(5), pages 1219-1238, September.
    22. Susan Athey & Jonathan Levin, 2001. "Information and Competition in U.S. Forest Service Timber Auctions," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 375-417, April.
    23. Armantier, Olivier, 2004. "Does observation influence learning?," Games and Economic Behavior, Elsevier, vol. 46(2), pages 221-239, February.
    24. Patrick Bajari & Ali Hortacsu, 2005. "Are Structural Estimates of Auction Models Reasonable? Evidence from Experimental Data," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 703-741, August.
    25. Harry J. Paarsch & Han Hong, 2006. "An Introduction to the Structural Econometrics of Auction Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262162350, April.
    26. De Silva, Dakshina G. & Dunne, Timothy & Kosmopoulou, Georgia, 2002. "Sequential bidding in auctions of construction contracts," Economics Letters, Elsevier, vol. 76(2), pages 239-244, July.
    27. Douglas Dyer & John H. Kagel, 1996. "Bidding in Common Value Auctions: How the Commercial Construction Industry Corrects for the Winner's Curse," Management Science, INFORMS, vol. 42(10), pages 1463-1475, October.
    28. Lawrence Friedman, 1956. "A Competitive-Bidding Strategy," Operations Research, INFORMS, vol. 4(1), pages 104-112, February.
    29. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    30. Garvin, Susan & Kagel, John H., 1994. "Learning in common value auctions: Some initial observations," Journal of Economic Behavior & Organization, Elsevier, vol. 25(3), pages 351-372, December.
    31. Bower, John & Bunn, Derek, 2001. "Experimental analysis of the efficiency of uniform-price versus discriminatory auctions in the England and Wales electricity market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 561-592, March.
    32. Dawid, Herbert, 1999. "On the convergence of genetic learning in a double auction market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1545-1567, September.
    33. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    34. 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.
    35. Arifovic, Jasmina & McKelvey, Richard D. & Pevnitskaya, Svetlana, 2006. "An initial implementation of the Turing tournament to learning in repeated two-person games," Games and Economic Behavior, Elsevier, vol. 57(1), pages 93-122, October.
    36. Matt Shum & Phil Haile & Han Hong, 2003. "Nonparametric Tests for Common Values in First-Price Auctions," Economics Working Paper Archive 501, The Johns Hopkins University,Department of Economics.
    37. Camerer, Colin F. & Ho, Teck-Hua & Chong, Juin-Kuan, 2002. "Sophisticated Experience-Weighted Attraction Learning and Strategic Teaching in Repeated Games," Journal of Economic Theory, Elsevier, vol. 104(1), pages 137-188, May.
    38. 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.
    39. Selten, Reinhard, 1998. "Features of experimentally observed bounded rationality," European Economic Review, Elsevier, vol. 42(3-5), pages 413-436, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Alan Mehlenbacher, 2009. "Multiagent System Simulations of Signal Averaging in English Auctions with Two-Dimensional Value Signals," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 119-143, September.
    3. repec:vuw:vuwscr:19224 is not listed on IDEAS
    4. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    5. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    6. Sağlam, Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Working Paper Series 19224, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    7. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.
    8. Lamy, Laurent & Patnam, Manasa & Visser, Michael, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Journal of Econometrics, Elsevier, vol. 235(2), pages 1172-1202.
    9. Stefan Seifert & Silke Hüttel, 2023. "Is there a risk of a winner’s curse in farmland auctions?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 1140-1177.
    10. Paul Pezanis-Christou & Hang Wu, 2018. "A non-game-theoretic approach to bidding in first-price and all-pay auctions," School of Economics and Public Policy Working Papers 2018-12, University of Adelaide, School of Economics and Public Policy.
    11. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    12. Giovanni Compiani & Philip Haile & Marcelo Sant’Anna, 2020. "Common Values, Unobserved Heterogeneity, and Endogenous Entry in US Offshore Oil Lease Auctions," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3872-3912.
    13. Brasil, Eric Universo Rodrigues & Postali, Fernando Antonio Slaibe, 2014. "Informational rents in oil and gas concession auctions in Brazil," Energy Economics, Elsevier, vol. 46(C), pages 93-101.
    14. Philip A Haile & Yuichi Kitamura, 2019. "Unobserved heterogeneity in auctions," The Econometrics Journal, Royal Economic Society, vol. 22(1), pages 1-19.
    15. Paulo Fagandini & Ingemar Dierickx, 2023. "Computing Profit-Maximizing Bid Shading Factors in First-Price Sealed-Bid Auctions," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1009-1035, March.
    16. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    17. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," NBER Working Papers 12126, National Bureau of Economic Research, Inc.
    18. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    19. Lamy, Laurent, 2012. "The econometrics of auctions with asymmetric anonymous bidders," Journal of Econometrics, Elsevier, vol. 167(1), pages 113-132.
    20. Grundl, Serafin & Zhu, Yu, 2023. "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, vol. 235(2), pages 484-506.
    21. An, Yonghong & Hu, Yingyao & Shum, Matthew, 2010. "Estimating first-price auctions with an unknown number of bidders: A misclassification approach," Journal of Econometrics, Elsevier, vol. 157(2), pages 328-341, August.

    More about this item

    Keywords

    Axiomatic bargaining; resource monotonicity; transferable utility; risk aversion;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vic:vicddp:0706. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kali Moon (email available below). General contact details of provider: https://edirc.repec.org/data/devicca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.