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Economic Activity on Fixed Networks

In: Handbook of Computational Economics

Author

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  • Wilhite, Allen

Abstract

A large portion of our economic interactions involves a very small portion of the population. We seem to prefer familiar venues. But the tendency to focus our attention on a few individuals or activities is an attribute that is typically omitted in our characterization of markets. In markets agents seem to interact impersonally and efficiently with countless other faceless agents. This chapter looks into the consequences of including a connection between agents, a tendency to interact with a specific few, in economic decision making. Agents are assumed to occupy the nodes of a network and to interact exclusively with agents to whom they are directly linked. We then study evolution of game strategies and the effectiveness of exchange as the topology of the underlying network is altered. We find that networks matter, that changes in a network's structure can alter the steady-state attributes of an artificial society as well as the dynamics of that system.

Suggested Citation

  • Wilhite, Allen, 2006. "Economic Activity on Fixed Networks," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 20, pages 1013-1045, Elsevier.
    • Handle: RePEc:eee:hecchp:2-20
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    Citations

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    Cited by:

    1. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    2. Shu-Heng Chen & Umberto Gostoli, 2017. "Coordination in the El Farol Bar problem: The role of social preferences and social networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 59-93, April.
    3. De Kamps, Marc & Ladley, Daniel & Simaitis, Aistis, 2014. "Heterogeneous beliefs in over-the-counter markets," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 50-68.
    4. Nannen, Volker & van den Bergh, Jeroen C. J. M., 2008. "Evolutionary Analysis of Climate Policy and Renewable Energy: Heterogeneous Agents, Relative Welfare and Social Network," MPRA Paper 25881, University Library of Munich, Germany.
    5. Jason Barr & Troy Tassier, 2010. "Endogenous Neighborhood Selection and the Attainment of Cooperation in a Spatial Prisoner’s Dilemma Game," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 211-234, March.
    6. João Bernardino & Tanya Araújo, 2013. "On positional consumption and technological innovation: an agent-based model," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1047-1071, November.
    7. João Bernardino & Tanya Araújo, 2010. "On Positional Consumption and Technological Innovation- an Agent-based Approach," Working Papers Department of Economics 2010/04, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    8. Wennberg, Karl & Berglund, Henrik, 2014. "Pragmatic entrepreneurs and institutionalized scholars? - On the path-dependent nature of entrepreneurship scholarship," Ratio Working Papers 238, The Ratio Institute.
    9. 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.
    10. Hegemann, Rachel A. & Smith, Laura M. & Barbaro, Alethea B.T. & Bertozzi, Andrea L. & Reid, Shannon E. & Tita, George E., 2011. "Geographical influences of an emerging network of gang rivalries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3894-3914.
    11. Rinke C. Hoekstra & Henk van Arkel & Bas Leurs, 2007. "Modeling local monetary flows in poor regions: A research setup to simulate the multiplier effect in local economies," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 138-150.
    12. Wilhite, Allen, 2014. "Network structure, games, and agent dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 225-238.
    13. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    14. Simon Gemkow & Michael Neugart, 2011. "Referral hiring, endogenous social networks, and inequality: an agent-based analysis," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 703-719, October.
    15. Samuel E. Vazquez, 2009. "Scale Invariance, Bounded Rationality and Non-Equilibrium Economics," Papers 0902.3840, arXiv.org.
    16. Dan Ladley & Seth Bullock, 2008. "The Strategic Exploitation of Limited Information and Opportunity in Networked Markets," Computational Economics, Springer;Society for Computational Economics, vol. 32(3), pages 295-315, October.
    17. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.

    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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