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Agent-based Modeling: The Right Mathematics for the Social Sciences?

In: The Elgar Companion to Recent Economic Methodology

Author

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  • Paul L. Borrill
  • Leigh Tesfatsion

Abstract

Bringing together a collection of leading contributors to this new methodological thinking, the authors explain how it differs from the past and point towards further concerns and future issues. The recent research programs explored include behavioral and experimental economics, neuroeconomics, new welfare theory, happiness and subjective well-being research, geographical economics, complexity and computational economics, agent-based modeling, evolutionary thinking, macroeconomics and Keynesianism after the crisis, and new thinking about the status of the economics profession and the role of the media in economics.

Suggested Citation

  • Paul L. Borrill & Leigh Tesfatsion, 2011. "Agent-based Modeling: The Right Mathematics for the Social Sciences?," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 11, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:13684_11
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    References listed on IDEAS

    as
    1. Paul L. Joskow, 2006. "Markets for Power in the United States: An Interim Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-36.
    2. Robert L. Axtell, 2000. "Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems," Working Papers 00-07-039, Santa Fe Institute.
    3. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    4. Li, Hongyan & Tesfatsion, Leigh, 2009. "ISO Net Surplus Collection and Allocation in Wholesale Power Markets Under Locational Marginal Pricing," Staff General Research Papers Archive 13092, Iowa State University, Department of Economics.
    5. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-8.
    6. Jason M Barr & Troy Tassier & Leanne J Ussher & Blake LeBaron & Shu-Heng Chen & Shyam Sunder, 2008. "The Future of Agent-Based Research in Economics: A Panel Discussion, Eastern Economic Association Annual Meetings, Boston, March 7, 20081," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 550-565.
    7. Dawid, Herbert, 2006. "Agent-based Models of Innovation and Technological Change," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 25, pages 1235-1272, Elsevier.
    8. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Testing Institutional Arrangements Via Agent-Based Modeling: A U.S. Electricity Market Example," Staff General Research Papers Archive 13155, Iowa State University, Department of Economics.
    9. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    10. Blake LeBaron & Leigh Tesfatsion, 2008. "Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents," American Economic Review, American Economic Association, vol. 98(2), pages 246-250, May.
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    Citations

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    Cited by:

    1. repec:spr:italej:v:3:y:2017:i:3:d:10.1007_s40797-017-0058-y is not listed on IDEAS
    2. Mandel, Antoine & Taghawi-Nejad, Davoud & Veetil, Vipin P., 2019. "The price effects of monetary shocks in a network economy," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 300-316.
    3. repec:taf:jecmet:v:24:y:2017:i:4:p:384-409 is not listed on IDEAS
    4. Divine Odame APPIAH & Eric Kwabena FORKUO & John Tiah BUGRI, 2015. "Land Use Conversion Probabilities in a Peri-Urban District of Ghana," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-21, September.
    5. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201703280700001022, Iowa State University, Department of Economics.
    6. repec:eee:wdevel:v:99:y:2017:i:c:p:395-418 is not listed on IDEAS
    7. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201702180800001022, Iowa State University, Department of Economics.
    8. Wozniak, Marcin, 2016. "Job placement agencies in an artificial labor market," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 10, pages 1-54.
    9. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    10. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201704300700001022, Iowa State University, Department of Economics.
    11. Leigh Tesfatsion, 2017. "Modeling economic systems as locally-constructive sequential games," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(4), pages 384-409, October.
    12. Фаттахов М.Р., 2013. "Агенто-Ориентированная Модель Социально-Экономического Развития Москвы," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(2), pages 30-43, апрель.

    More about this item

    Keywords

    Economics and Finance;

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D - Microeconomics
    • E - Macroeconomics and Monetary Economics

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