IDEAS home Printed from https://ideas.repec.org/p/isu/iowaer/36.html
   My bibliography  Save this paper

A Trade Network Game With Endogenous Partner Selection

Author

Listed:
  • Leigh TESFATSION

Abstract

This paper develops a Trade Network Game (TNG) that combines evolutionary game play with endogenous partner selection. Resource- constrained buyers and sellers choose and refuse trade partners on the basis of continually updated expected payoffs. Partner selection takes place in accordance with a "deferred choice and refusal" mechanism that is shown to have interesting stability, optimality, and uniqueness properties. The iterated prisoner's dilemma strategies used by buyers and sellers to conduct their trades are evolved over time via a genetic algorithm that biases reproduction in favor of strategies that have been successful in past trades. The TNG is shown to encompass a variety of economic applications, such as job search games, labor markets modelled as assignment games, labor markets with endogenously determined workers and employers, and double auction games. To illustrate the way in which preferential partner selection interacts with game play in the TNG, resulting in the endogenous formation of trade networks, a 5-trader TNG is analyzed in detail.

Suggested Citation

  • Leigh TESFATSION, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Report 36, Iowa State University Department of Economics.
  • Handle: RePEc:isu:iowaer:36
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/18191
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Tesfatsion, Leigh, 1995. "A Trade Network Game with Endogenous Partner Selection," ISU General Staff Papers 199505010700001034, Iowa State University, Department of Economics.
    2. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    3. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," Review of Economic Studies, Oxford University Press, vol. 68(2), pages 235-260.
    4. Hirshlifer, David & Rassmusen, Eric, 1989. "Cooperation in a repeated prisoners' dilemma with ostracism," Journal of Economic Behavior & Organization, Elsevier, vol. 12(1), pages 87-106, August.
    5. Ashlock, Dan & Smucker, Mark & Stanley, E. Ann & Tesfatsion, Leigh, 1994. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," ISU General Staff Papers 199409010700001033, Iowa State University, Department of Economics.
    6. Brock, W.A. & Durlauf, S.N., 1995. "Discrete Choice with Social Interactions I: Theory," Working papers 9521, Wisconsin Madison - Social Systems.
    7. Stanley, E. Ann & Ashlock, Dan & Tesfatsion, Leigh, 1993. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," ISU General Staff Papers 199302010800001028, Iowa State University, Department of Economics.
    8. Alan P. Kirman, 1994. "Economies with Interacting Agents," Working Papers 94-05-030, Santa Fe Institute.
    9. Yannis M. Ioannides, 1996. "Evolution of Trading Structures," Working Papers 96-04-020, Santa Fe Institute.
    10. Roth, Alvin E. & Sotomayor, Marilda, 1992. "Two-sided matching," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 1, chapter 16, pages 485-541, Elsevier.
    11. George Mailath & Larry Samuelson & Avner Shaked, 1994. "Evolution and Endogenous Interactions," Game Theory and Information 9410003, University Library of Munich, Germany.
    12. Vriend, Nicolaas J, 1995. "Self-Organization of Markets: An Example of a Computational Approach," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 205-231, August.
    13. Esther Hauk, "undated". "Leaving the Prison: A Discussion of the Iterated Prisoner's Dilemma under Preferential Partner Selection," Computing in Economics and Finance 1996 _067, Society for Computational Economics.
    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. Leigh S. Tesfatsion, "undated". "An Evolutionary Trade Network Game with Preferential Partner Selection," Computing in Economics and Finance 1996 _057, Society for Computational Economics.
    2. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching in an Evolutionary Trade Network Game," ISU General Staff Papers 199804010800001041, Iowa State University, Department of Economics.
    3. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
    4. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," ISU General Staff Papers 199807010700001043, Iowa State University, Department of Economics.
    5. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
    6. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    7. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    8. Tesfatsion, Leigh, 2001. "Structure, behavior, and market power in an evolutionary labor market with adaptive search," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 419-457, March.
    9. Tesfatsion, Leigh, 1998. "Ex Ante Capacity Effects in Evolutionary Labor Markets with Adaptive Search," ISU General Staff Papers 199810010700001046, Iowa State University, Department of Economics.
    10. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    11. Esther Hauk, "undated". "Leaving the Prison: A Discussion of the Iterated Prisoner's Dilemma under Preferential Partner Selection," Computing in Economics and Finance 1996 _067, Society for Computational Economics.
    12. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    13. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    14. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    15. Esther Hauk, 2003. "Multiple Prisoner's Dilemma Games with(out) an Outside Option: an Experimental Study," Theory and Decision, Springer, vol. 54(3), pages 207-229, May.
    16. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    17. Steven N. Durlauf, 1996. "Statistical Mechanics Approaches to Socioeconomic Behavior," NBER Technical Working Papers 0203, National Bureau of Economic Research, Inc.
    18. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    19. Horst, Ulrich & Scheinkman, Jose A., 2006. "Equilibria in systems of social interactions," Journal of Economic Theory, Elsevier, vol. 130(1), pages 44-77, September.
    20. Allen Wilhite, 2003. "Self-Organizing Production and Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 107-123, February.

    More about this item

    Keywords

    Trade networks; evolutionary game; optimal search; endogenous interactions; iterated prisoner's dilemma; multi-armed bandit game; assignment game; preferential partner matching; genetic algorithm; artificial life; criterion filtering.;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

    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:isu:iowaer:36. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/deiasus.html .

    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: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.