Agent-Based Modeling: The Right Mathematics for the Social Sciences?
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- 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.
- Borrill, Paul L. & Tesfatsion, Leigh, 2011. "Agent-based modeling: the right mathematics for the social sciences?," ISU General Staff Papers 201101010800001090, Iowa State University, Department of Economics.
- Borrill, Paul L. & Tesfatsion, Leigh, 2011. "Agent-based modeling: the right mathematics for the social sciences?," ISU General Staff Papers 201106290700001090, Iowa State University, Department of Economics.
References listed on IDEAS
- 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.
- Paul L. Joskow, 2005. "Markets For Power In The United States - An Interim Assessment," Working Papers 0512, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
- Hayek, F. A., 1996. "Individualism and Economic Order," University of Chicago Press Economics Books, University of Chicago Press, number 9780226320939.
- Robert L. Axtell, 2000. "Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems," Working Papers 00-07-039, Santa Fe Institute.
- 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.
- Myong-Hun Chang & Joseph E Harrington Jr, 2004. "Agent-Based Models of Organizations," Economics Working Paper Archive 515, The Johns Hopkins University,Department of Economics.
- 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.
- 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.
- Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Testing institutional arrangements via agent-based modeling: a U.S. electricity market example," ISU General Staff Papers 201002020800001088, Iowa State University, Department of Economics.
- Leigh Tesfatsion, 2002.
"Agent-Based Computational Economics,"
Computational Economics
0203001, University Library of Munich, Germany, revised 15 Aug 2002.
- Tesfatsion, Leigh, 2007. "Agent-based computational economics," ISU General Staff Papers 200701010800001423, Iowa State University, Department of Economics.
- Tesfatsion, Leigh, 2003. "Agent-Based Computational Economics," ISU General Staff Papers 200301010800001248, Iowa State University, Department of Economics.
- 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.
- 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.
- 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.
- 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.
- LeBaron, Blake & Tesfatsion, Leigh S., 2008. "Modeling Macroeconomies As Open-Ended Dynamic Systems of Interacting Agents," Staff General Research Papers Archive 12973, Iowa State University, Department of Economics.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- 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.
- Antoine Mandel & Davoud Taghawi-Nejad & Vipin Veetil, 2019. "The price effects of monetary shocks in a network economy," Post-Print halshs-02334593, HAL.
- Antoine Mandel & Davoud Taghawi-Nejad & Vipin Veetil, 2019. "The price effects of monetary shocks in a network economy," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02334593, HAL.
- Antoine Mandel & Davoud Taghawi-Nejad & Vipin Veetil, 2019. "The price effects of monetary shocks in a network economy," PSE-Ecole d'économie de Paris (Postprint) halshs-02334593, HAL.
- Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201702180800001022, Iowa State University, Department of Economics.
- 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.
- Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201707110700001022, Iowa State University, Department of Economics.
- Tesfatsion, Leigh, 2017. "Modeling economic systems as locally-constructive sequential games," ISU General Staff Papers 201712010800001022, Iowa State University, Department of Economics.
- 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.
- 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.
- Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201704300700001022, Iowa State University, Department of Economics.
- 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.
- Marco Mazzoli & Matteo Morini & Pietro Terna, 2017. "Business Cycle in a Macromodel with Oligopoly and Agents’ Heterogeneity: An Agent-Based Approach," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 389-417, November.
- Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201703280700001022, Iowa State University, Department of Economics.
- 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.
- Naqvi, Asjad, 2017. "Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters," World Development, Elsevier, vol. 99(C), pages 395-418.
More about this item
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
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBE-2010-07-17 (Cognitive & Behavioural Economics)
- NEP-CMP-2010-07-17 (Computational Economics)
Statistics
Access and download statisticsCorrections
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:genres:31674. 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: (Curtis Balmer). General contact details of provider: http://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 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.