IDEAS home Printed from https://ideas.repec.org/a/che/ireepp/v11y2012i2p102-114.html
   My bibliography  Save this article

Toward Teaching Markets as Complex Systems: A Web Based Simulation Assignment Implemented in Netlogo

Author

Listed:
  • Tim Kochanski

    (American Association for the Advancement of Science)

Abstract

This paper is based on a simulation model, programmed in NetLogo, that demonstrates changes in market structure that occur as marginal costs, demand, and barriers to entry change. Students predict and observe market structure changes in terms of number of firms, market concentration, market price and quantity, and average marginal costs, profits, and markups across the market as firms innovate. By adjusting the demand growth and barriers to entry, students can explore market changes in terms of the output variables mentioned above. The exercise allows students to synthesise information from several different chapters of the text that discuss differing market structures including perfect competition, monopoly, monopolistic competition, and oligopoly. Finally, the exercise exposes students to computational methods, simulation, and a dynamic perspective on the static models provided by the course text.

Suggested Citation

  • Tim Kochanski, 2012. "Toward Teaching Markets as Complex Systems: A Web Based Simulation Assignment Implemented in Netlogo," International Review of Economic Education, Economics Network, University of Bristol, vol. 11(2), pages 102-114.
    • Handle: RePEc:che:ireepp:v:11:y:2012:i:2:p:102-114
    as

    Download full text from publisher

    File URL: https://www.economicsnetwork.ac.uk/sites/default/files/Ashley/Kochanski%2C%2011.2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jyotirmoy Sarkar & Barnali Gupta & Debashis Pal, 1998. "A Geometric Solution of a Cournot Oligopoly with Nonidentical Firms," The Journal of Economic Education, Taylor & Francis Journals, vol. 29(2), pages 118-126, June.
    2. D. Colander, 2009. "The Complexity Revolution and the Future of Economics," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 1.
    3. Holger Paetow, 1998. "Long-Run Dynamic Equilibrium Simulation through the use of Spreadsheets," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 12(1), pages 2-5.
    4. D. Colander., 2009. "The Complexity Revolution and the Future of Economics," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 1.
    5. Tim Kochanski, 2007. "Moving Economic Models from the Chalk Board to the Computer: A Computer-Based Assignment Based on a Dynamic Cournot Model," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 19(1), pages 24-32.
    6. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    7. Stephen J. Schmidt, 2003. "Active and Cooperative Learning Using Web-Based Simulations," The Journal of Economic Education, Taylor & Francis Journals, vol. 34(2), pages 151-167, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jingyuan Fu & Meng Sun & Minhong Wang, 2022. "Simulation-Assisted Learning about a Complex Economic System: Impact on Low- and High-Achieving Students," Sustainability, MDPI, vol. 14(10), pages 1-17, May.

    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. Jacinto Brito González, 2004. "Conocimiento, geografía e instituciones: Una aproximación a la problemática del crecimiento en el archipiélago canario," Documentos de trabajo conjunto ULL-ULPGC 2004-03, Facultad de Ciencias Económicas de la ULPGC.
    2. Berg, Joyce E. & Rietz, Thomas A., 2019. "Longshots, overconfidence and efficiency on the Iowa Electronic Market," International Journal of Forecasting, Elsevier, vol. 35(1), pages 271-287.
    3. Daniel Sutter & Daniel J. Smith, 2017. "Coordination in disaster: Nonprice learning and the allocation of resources after natural disasters," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(4), pages 469-492, December.
    4. Simon, Herbert A., 2000. "Barriers and bounds to Rationality," Structural Change and Economic Dynamics, Elsevier, vol. 11(1-2), pages 243-253, July.
    5. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    7. Robin Nicole & Aleksandra Alori'c & Peter Sollich, 2020. "Fragmentation in trader preferences among multiple markets: Market coexistence versus single market dominance," Papers 2012.04103, arXiv.org, revised Aug 2021.
    8. Lange, Andreas & Ross, Johannes, 2024. "Internalizing match-dependent externalities," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 356-378.
    9. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    10. Richard B. Freeman, 2007. "Labor Market Institutions Around the World," NBER Working Papers 13242, National Bureau of Economic Research, Inc.
    11. Gaël Giraud & Céline Rochon, 2010. "Transition to Equilibrium in International Trades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00657038, HAL.
    12. 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.
    13. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    14. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    15. Monira Essa Aloud, 2016. "Profitability of Directional Change Based Trading Strategies: The Case of Saudi Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 87-95.
    16. Koppl, Roger, 2010. "Some epistemological implications of economic complexity," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 859-872, December.
    17. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    18. Crockett, Sean & Spear, Stephen & Sunder, Shyam, 2008. "Learning competitive equilibrium," Journal of Mathematical Economics, Elsevier, vol. 44(7-8), pages 651-671, July.
    19. Richard Holt & J. Barkley Rosser & David Colander, 2011. "The Complexity Era in Economics," Review of Political Economy, Taylor & Francis Journals, vol. 23(3), pages 357-369.
    20. Benjamin Myers & Austin Gerig, 2013. "Simulating the Synchronizing Behavior of High-Frequency Trading in Multiple Markets," Papers 1311.4160, arXiv.org.

    More about this item

    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:che:ireepp:v:11:y:2012:i:2:p:102-114. 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: Martin Poulter (email available below). General contact details of provider: https://www.economicsnetwork.ac.uk/iree .

    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.