[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/trn/utwpas/1218.html
   My bibliography  Save this paper

The Epistemology of Simulation, Computation and Dynamics in Economics

Author

Listed:
  • K.Vela Velupillai
Abstract
Computation and Simulation have always played a role in economics – whether it be pure economic theory or any variant of applied, especially policy oriented, macro and micro economics or what has increasingly come to be called empirical economics. This is a tradition that can, without too much difficulty, be traced to the spirit and vision of the founding father of Political Economy --as Political Arithmetic -- by William Petty, whose finest exponent was, in my opinion, Richard Stone, in modern times a noble tradition whose living custodian is Lance Taylor. In this paper their spirit is the driving force, but it is given new theoretical foundations, mainly as a result of developments in the mathematics underpinnings of the tremendous developments in the potentials of computing, especially using digital technology. A running theme in this essay is the recognition --never neglected by Petty, Stone or Taylor --that, increasingly, the development of economic theory seems to go hand in hand with advances in the theory and practice of computing, which is, in turn, a catalyst for the move away from too much reliance on any kind of mathematics for the formalisation of economic entities that is inconsistent with the mathematical, philosophical and epistemological foundations of the digital computer.

Suggested Citation

  • K.Vela Velupillai, 2012. "The Epistemology of Simulation, Computation and Dynamics in Economics," ASSRU Discussion Papers 1218, ASSRU - Algorithmic Social Science Research Unit.
  • Handle: RePEc:trn:utwpas:1218
    as

    Download full text from publisher

    File URL: http://www.assru.economia.unitn.it/files/DP_7_2012_II.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Venkatachalam Ragupathy & Kumaraswamy Vela Velupillai, 2012. "Origins and Early Development of the Nonlinear Endogenous Mathematical Theory of the Business Cycle," Economia politica, Società editrice il Mulino, issue 1, pages 45-80.
    2. Leeson,Robert (ed.), 2000. "A. W. H. Phillips: Collected Works in Contemporary Perspective," Cambridge Books, Cambridge University Press, number 9780521571357, September.
    3. J. Barkley Rosser Jr. (ed.), 2009. "Handbook of Research on Complexity," Books, Edward Elgar Publishing, number 3625.
    4. K. Vela Velupillai, 2007. "A Computable Economist�s Perspective on Computational Complexity," Department of Economics Working Papers 0723, Department of Economics, University of Trento, Italia.
    5. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    6. Mirowski,Philip, 2002. "Machine Dreams," Cambridge Books, Cambridge University Press, number 9780521772839, September.
    7. K. Vela Velupillai, 2007. "Variations On The Theme Of Conning In Mathematical Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 466-505, July.
    8. Stefano Zambelli, 2011. "Flexible Accelerator Economic Systems As Coupled Oscillators," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 608-633, July.
    9. Klamer, Arjo, 1989. "An Accountant among Economists: Conservations with Sir John R. Hicks," Journal of Economic Perspectives, American Economic Association, vol. 3(4), pages 167-180, Fall.
    10. Mirowski,Philip, 2002. "Machine Dreams," Cambridge Books, Cambridge University Press, number 9780521775267, September.
    11. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    12. Kumaraswamy Velupillai, "undated". "The Computable Approach to Economics," Working Papers _005, University of California at Los Angeles, Center for Computable Economics.
    13. K. Vela Velupillai, 2007. "Variations on the Theme of Conning in Mathematical Economics," Department of Economics Working Papers 0703, Department of Economics, University of Trento, Italia.
    14. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    15. K. Vela Velupillai, 1999. "Undecidability, Computation Universality and Minimality in Economic Dynamics," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 653-674, December.
    16. repec:bla:jecsur:v:13:y:1999:i:5:p:653-73 is not listed on IDEAS
    17. Charles R. Plott & Jared Smith, 1999. "Instability of Equilibria in Experimental Markets: Upward-Sloping Demands, Externalities, and Fad-Like Incentives," Southern Economic Journal, John Wiley & Sons, vol. 65(3), pages 405-426, January.
    18. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    19. Selda (Ying Fang) Kao & K. Vela Velupillai, 2011. "Behavioural Economics: Classical and Modern," ASSRU Discussion Papers 1126, ASSRU - Algorithmic Social Science Research Unit.
    20. McCauley,Joseph L., 2009. "Dynamics of Markets," Cambridge Books, Cambridge University Press, number 9780521429627, September.
    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. Kumaraswamy Vela Velupillai, 2013. "Turing's Economics. A Birth Centennial Homage," Economia politica, Società editrice il Mulino, issue 1, pages 13-32.

    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. K. Vela Velupillai & Stefano Zambelli, 2010. "The Epistemology of Simulation, Computation and Dynamics in Economics Ennobling Synergies, Enfeebling 'Perfection'," ASSRU Discussion Papers 1002, ASSRU - Algorithmic Social Science Research Unit.
    2. 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.
    3. Gräbner, Claudius, 2016. "From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics," MPRA Paper 71933, University Library of Munich, Germany.
    4. Gaffeo, E. & Catalano, M. & Clementi, F. & Delli Gatti, D. & Gallegati, M. & Russo, A., 2007. "Reflections on modern macroeconomics: Can we travel along a safer road?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 89-97.
    5. 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, September.
    6. Kumaraswamy Vela Velupillai, 2013. "Turing's Economics. A Birth Centennial Homage," Economia politica, Società editrice il Mulino, issue 1, pages 13-32.
    7. Magda Fontana, 2006. "Computer simulations, mathematics and economics," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 53(1), pages 96-123, March.
    8. Moscati, Ivan & Tubaro, Paola, 2009. "Random behavior and the as-if defense of rational choice theory in demand experiments," LSE Research Online Documents on Economics 27001, London School of Economics and Political Science, LSE Library.
    9. Klaus Jaffe, 2015. "Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus," Papers 1509.04264, arXiv.org, revised Nov 2015.
    10. Zhang, Hui & Cao, Libin & Zhang, Bing, 2017. "Emissions trading and technology adoption: An adaptive agent-based analysis of thermal power plants in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 23-32.
    11. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    12. Доможиров Д. А. & Ибрагимов Н. М. & Мельникова Л. В. & Цыплаков А. А., 2017. "Интеграция подхода «затраты – выпуск» в агент-ориентированное моделирование. Часть 1. Методологические основы. Integration of input–output approach into agent-based modeling. Part 1. Methodological pr," Мир экономики и управления // Вестник НГУ. Cерия: Cоциально-экономические науки, Socionet;Новосибирский государственный университет, vol. 17(1), pages 86-99.
    13. Witte, Björn-Christopher, 2012. "Fund managers - Why the best might be the worst: On the evolutionary vigor of risk-seeking behavior," Economics Discussion Papers 2012-20, Kiel Institute for the World Economy (IfW Kiel).
    14. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Polyzos, Stathis & Samitas, Aristeidis & Katsaiti, Marina-Selini, 2020. "Who is unhappy for Brexit? A machine-learning, agent-based study on financial instability," International Review of Financial Analysis, Elsevier, vol. 72(C).
    16. Hommes, Cars & Lux, Thomas, 2013. "Individual Expectations And Aggregate Behavior In Learning-To-Forecast Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 17(2), pages 373-401, March.
    17. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    18. Oeffner, Marc, 2008. "Agent–Based Keynesian Macroeconomics - An Evolutionary Model Embedded in an Agent–Based Computer Simulation," MPRA Paper 18199, University Library of Munich, Germany, revised Oct 2009.
    19. Paul De Grauwe, 2012. "Booms and busts: New Keynesian and behavioural explanations," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 6, pages 149-180, Edward Elgar Publishing.
    20. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).

    More about this item

    Keywords

    Simulation; Computation; Computable; Analysis; Dynamics Proof; Algorithm;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:trn:utwpas:1218. 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: assru.tm@gmail.com (email available below). General contact details of provider: https://edirc.repec.org/data/detreit.html .

    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.