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Why Are We Simulating Anyway? Some Answers from Economics

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Abstract

This paper considers the meaning of the term “simulation” as it is commonly used in economics. A distinction is made between the relatively mechanical task of simulating a pre-existing mathematical model and the far more difficult task of building a simulation of some social process. It is argued that economists almost always use simulation in the first sense and, consequently, find it rather unimportant. Some economic objections to simulation are criticized, because they depend on a restricted understanding of the term, which has not itself been justified. Within a broader understanding of simulation, many of these objections can be shown to be unfounded. In addition, the paper describes a number of phenomena which are more amenable to simulation, in the broader sense, than to the usual type of mathematical economic modelling. The final part of the paper considers one particular, methodologically based, objection to simulation, that the process of developing deductive economic theories has a superior claim to “scientific rigour”. It is argued that, even taking the economic definition of rigour as given, simulation is actually more rigourous than mathematical modelling in several important respects.

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References

  • Alchian, A.A. (1950) Uncertainty, evolution and economic theory. Journal of Political Economy, 58 (3), pp. 211–222.

    Article  Google Scholar 

  • Anderson, P.W., Arrow, K.J., and Pines, D. eds. (1988) The Economy as an Evolving Complex System, Proceedings of the Evolutionary Paths of the Global Economy Workshop, Santa Fe, New Mexico, September 1987. Addison Wesley, Reading, MA.

    Google Scholar 

  • Batten, D.F., Casti, J.L., and Johansson, B. eds. (1987) Economic Evolution And Structural Adjustment. Springer-Verlag, Berlin.

    Google Scholar 

  • Chatfield, C. (1993) Editorial — neural networks: Forecasting breakthrough or passing fad? International Journal of Forecasting, 9, pp. 1–3.

    Article  Google Scholar 

  • Chattoe, E. (1994) The use of evolutionary algorithms in economics: Metaphors or models for social interaction? In: Eva Hillebrand and Joachim Stender, eds. Many-Agent Simulation and Artificial Life, volume 25 of Frontiers in Artificial Intelligence and Applications, pp. 4883. IOS Press, Amsterdam.

    Google Scholar 

  • Chattoe, E. (1995) Can sociologists and economists communicate? The problem of grounding and the theory of consumer behaviour. Paper presented at the Conference “Sociology and the Limits of Economics”, Liverpool.

    Google Scholar 

  • Chiappori, P.-A. (1984) Sélection naturelle et rationalité absolue des entreprises. Revue Économique, 35 (1), pp. 87–108.

    Google Scholar 

  • Colander, D., and Brenner, R. eds. (1992) Educating Economists. University of Michigan Press, Ann Arbor.

    Google Scholar 

  • Deaton, A., and Muellbauer, J. (1980) Economics and Consumer Behaviour. Cambridge University Press, Cambridge.

    Book  Google Scholar 

  • Dixon, H., Wallis, S., and Moss, S. (1994) Axelrod meets Cournot: Oligopoly and the evolutionary metaphor part 1.Technical Report 95/8, Department of Economics and Related Studies, University of York, July revised November 1994.

    Google Scholar 

  • Dosi, G., Marengo, L., Bassanini, A., and Valente, M. (1993) Microbehaviour and dynamical systems: Economic routines as emergent properties of adaptive systems. Technical report, Center for Research in Management, University of California (Berkeley).

    Google Scholar 

  • Engle, R.F., Hendry, D.F., and Richard, J.-F. (1983) Exogeneity. Econometrica, 51 (2), pp. 277–304.

    Article  Google Scholar 

  • Frank, R., Gilovich, T., and Regan, D. (1993) Does studying economics inhibit co-operation? Journal of Economic Perspectives, 7 (2), pp. 159–171.

    Article  Google Scholar 

  • Friedman, M. (1953) Essays in Positive Economics, chapter The Methodology of Positive Economics. University of Chicago Press, Chicago, pp. 3–53.

    Google Scholar 

  • Georgescu-Roegen, N. (1971) The Entropy Law and the Economic Process. Harvard University Press, Cambridge, MA.

    Google Scholar 

  • Gilbert, C.L. (1986) Professor Hendry’s econometric methodology. Oxford Bulletin of Economics and Statistics, 48 (3), pp. 283–307.

    Article  Google Scholar 

  • Hall, R.L., and Hitch, C.J. (1939) Price theory and business behaviour. Oxford Economic Papers, 2, pp. 12–45.

    Google Scholar 

  • Hendry, D.F. (1988) The encompassing implications of feedback versus feedforward mechanisms in econometrics. Oxford Economic Papers, 40, pp. 132–149.

    Google Scholar 

  • Hendry, D.F. (1993) Econometric methodology: A personal perspective. In: Bewley, T.F. ed. Advances in Econometrics. Cambridge University Press, Cambridge.

    Google Scholar 

  • Hendry, D.F. (1993) Econometrics: Alchemy or Science? Essays in Econometric Methodology. Basil Blackwell.

    Google Scholar 

  • Hendry, D.F., and Richard, J.-E. (1982) On the formulation of empirical models in dynamic econometrics. Journal of Econometrics, 20, pp. 3–33.

    Article  Google Scholar 

  • Knight, F.H. (1921) Risk, Uncertainty, and Profit. Houghton Mifflin, Boston.

    Google Scholar 

  • Koutsoyiannis, A. (1979) Modern microeconomics. Macmillan, London, second edition. Lakatos, I. (1970) Falsification and the methodology of scientific research programmes. In: Lakatos, I., and Musgrave, A. eds. Criticism and the Growth of Knowledge, Cambridge University Press, Cambridge, pp. 95–195.

    Google Scholar 

  • Lakatos, I. (1970) Falsification and the methodology of scientific research programmes. In: Lakatos, I., and Musgrave, A. eds. Criticism and the Growth of Knowledge, Cambridge University Press, Cambridge, pp. 95–195.

    Google Scholar 

  • Lakatos, I. (1976) Proofs and Refutations. Cambridge University Press, Cambridge.

    Book  Google Scholar 

  • Leontief, W. (1977) Essays in Economics, Volume 2: Theories, Facts and Policies, chapter Theoretical Assumptions and Nonobserved Facts. Basil Blackwell, Oxford, pp. 24–34.

    Google Scholar 

  • Marwell, G., and Ames, R.E. (1981) Economists free ride, does anyone else? Journal of Public Economics, 15, pp. 295–310.

    Article  Google Scholar 

  • Mirowski, P. (1989) More Heat than Light: Economics as Social Physics, Physics as Nature’s Economics. Cambridge University Press, Cambridge.

    Book  Google Scholar 

  • Nelson, R.R., and Winter, S.G. (1982) An Evolutionary Theory of Economic Change. Belknap/Harvard University Press, Cambridge, MA.

    Google Scholar 

  • Nickell, S.J. (1978) The Investment Decisions of Firms. Cambridge University Press, Cambridge, 1978.

    Google Scholar 

  • Pau, L.-F. ed. (1986) Artificial Intelligence in Economics and Management: Proceedings of the First International Workshop on Artificial Intelligence in Economics and Management, Zürich, 12–14 March 1985. Elsevier, Amsterdam.

    Google Scholar 

  • Roos, J.-L. ed. (1987) Economics and Artificial Intelligence: Proceedings of the IFAC/IFORS/IFIP/IASC/AFCET Conference, Aix-en- Provence, France, 2–4 September 1986, volume 12 of IFAC Proceedings Series. Pergamon Press, Oxford.

    Google Scholar 

  • Sahal, D. (1983) Invention, innovation and economic evolution. Technological Forecasting and Economic Change, 23 (3), pp. 213–235.

    Article  Google Scholar 

  • Witt, U. (1986) How can complex economic behavior be investigated? The example of the ignorant monopolist revisited. Behavioral Science, 31, pp. 173–188.

    Article  Google Scholar 

  • Witt, U., and Perske, J. (982) SMSA Program Package for Simulating and Gaming of Stochastic Market Processes and Learning Behaviour, volume 202 of Lecture Notes in Economics and Mathematical Systems. Springer-Verlag, Berlin.

    Google Scholar 

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© 1996 Springer-Verlag Berlin Heidelberg

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Chattoe, E. (1996). Why Are We Simulating Anyway? Some Answers from Economics. In: Troitzsch, K.G., Mueller, U., Gilbert, G.N., Doran, J.E. (eds) Social Science Microsimulation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03261-9_4

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  • DOI: https://doi.org/10.1007/978-3-662-03261-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08267-2

  • Online ISBN: 978-3-662-03261-9

  • eBook Packages: Springer Book Archive

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