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Isolating Representations Versus Credible Constructions? Economic Modelling in Theory and Practice

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Abstract

This paper examines two recent approaches to the nature and functioning of economic models: models as isolating representations and models as credible constructions. The isolationist view conceives of economic models as surrogate systems that isolate some of the causal mechanisms or tendencies of their respective target systems, while the constructionist approach treats them rather like pure constructions or fictional entities that nevertheless license different kinds of inferences. I will argue that whereas the isolationist view is still tied to the representationalist understanding of models that takes the model-target dyad as the basic unit of analysis, the constructionist perspective can better accommodate the way we actually acquire knowledge through them. Using the example of Tobin’s ultra-Keynesian model I will show how many of the epistemic characteristics of modelling tend to go unrecognised if too much focus is placed on the model-target dyad.

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Notes

  1. It should be noted that even though both Cartwright and Mäki draw heavily on Mill, their versions of ‘isolation’ differ. Cartwright earlier used the terms abstraction and idealization rather than isolation, abstraction referring to omission (e.g., Cartwright 1989). However, what is common to both (earlier) Cartwright and Mäki is that they understand economic modelling as studying how a causal factor “behaves ‘in isolation’ (i.e., when it is the only cause for the targeted effect at work)” (Cartwright 2009, section 1), from which perspective models and real experiments appear as analogous operations. Sugden (2009) discusses Cartwright’s version of ‘isolation’.

  2. For thorough and conclusive criticisms concerning the semantic account of representation, see Suárez (2003) and Frigg (2003, 2006).

  3. Other authors have also recently suggested that models could be conceived of as independent objects—although by this they mean different things. Morrison (1999) and Morrison and Morgan (1999) conceive of them as autonomous entities partly independent of theory and data. Boumans (1999) releases models from the theory-data framework, considering them intricate constructions made up of various ingredients. Knuuttila (2005), in turn, treats them as independent entities that do not have any pre-established representational ties to real-world systems.

  4. In fact, this very discussion on the causation of business cycles and subsequently of inflation proved painstaking in many ways, since even though it was all about causality, Friedman was wary of using causal language. See Hoover (2004) for the general avoidance among economists of using causal language.

  5. In Monetary history Friedman and Schwartz present yet another argument for the causal priority of money. They note that the cyclical relation between the money stock and income has been relatively stable in the long run even though the monetary system has varied a lot. From this they conclude that such observed stability would have been unlikely if business life had determined the money stock and not the other way around.

  6. http://nobelprize.org/nobel_prizes/economics/laureates/1981/.

  7. For a discussion of this strategy in relation to other modelling strategies, see Weisberg (2007b).

  8. This practice among economists of working with multiple models related in various ways is largely in line with what Weisberg (2007b) terms multiple-models idealization. Although this practice displays features of robustness analysis, it seems more like the examination of different theoretical possibilities and accounting for empirical findings than any consistent effort to find out which assumptions are doing the work.

References

  • Akerlof, G. A. (1970). The market for “Lemons”: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84, 488–500.

    Article  Google Scholar 

  • Alexandrova, A. (2006). Connecting economic models to the real world: Game theory and the FCC spectrum auctions. Philosophy of the Social Sciences, 36, 173–192.

    Article  Google Scholar 

  • Bailer-Jones, D. (2003). When scientific models represent. International Studies in the Philosophy of Science, 17, 59–74.

    Article  Google Scholar 

  • Boumans, M. (1999). Built-in justification. In M. S. Morgan & M. Morrison (Eds.), Models as mediators. Perspectives on natural and social science (pp. 66–96). Cambridge: Cambridge University Press.

    Google Scholar 

  • Boumans, M., & Morgan, M. S. (2001). Ceteris paribus conditions: Materiality and the application of economic theories. Journal of Economic Methodology, 8, 11–26.

    Article  Google Scholar 

  • Brainard, W. C., & Tobin, J. (1968). Pitfalls in financial model building. American Economic Review, 58, 99–122.

    Google Scholar 

  • Caldwell, B. J. (1982). Beyond positivism: Economic methodology in the twentieth century. London: Allen & Unwin.

    Google Scholar 

  • Cartwright, N. (1989). Nature’s capacities and their measurement. Oxford: Clarendon Press.

    Google Scholar 

  • Cartwright, N. (1998). Capacities. In J. B. Davis, D. W. Hands, & U. Mäki (Eds.), The handbook of economic methodology (pp. 45–48). Cheltenham: Edgar Elgar.

    Google Scholar 

  • Cartwright, N. (1999). The vanity of rigour in economics: Theoretical models and Galilean experiments. Centre for Philosophy of Natural and Social Science. Discussion paper series 43/99.

  • Cartwright, N. (2009). If no capacities then no credible worlds. But can models reveal capacities? Erkenntnis, this issue. doi:10.1007/s10670-008-9136-8.

  • Clark, J. M. (1960). The wage-price problem. New York: American Bankers Association.

    Google Scholar 

  • Claus, I., & Grimes, A. (2003). Asymmetric information, financial intermediation, and the monetary transmission mechanism: A critical review. New Zealand Treasury Working Paper 03/19. Wellington.

  • Culbertson, J. M. (1960). Friedman on the lag in effect of monetary policy. Journal of Political Economy, 68, 617–621.

    Article  Google Scholar 

  • de Donato Rodríguez, X., & Zamora Bonilla, J. (2009). Credibility, idealisation, and model building: An inferential approach. Erkenntnis, this issue. doi:10.1007/s10670-008-9139-5.

  • Hammond, D. J. (1996). Theory and measurement: Causality issues in Milton Friedman’s monetary economics. Cambridge: Cambridge University Press.

    Google Scholar 

  • French, S. (2003). A model-theoretic account of representation (or, I don’t know much about art…but I know it involves isomorphism). Philosophy of Science, 70, 1472–1483.

    Article  Google Scholar 

  • Friedman, M. (1953). Essays in positive economics. Chicago: Chicago University Press.

    Google Scholar 

  • Friedman, M. (1961). The lag in the effect of monetary policy. Journal of Political Economy, LXIX, 447–466.

    Article  Google Scholar 

  • Friedman, M. (1970). Comment on Tobin. The Quarterly Journal of Economics, 84, 318–327.

    Article  Google Scholar 

  • Friedman, M., & Schwartz, A. J. (1963a). Money and business cycles. Review of Economics and Statistics, Supplement, 32–64.

    Article  Google Scholar 

  • Friedman, M., & Schwartz, A. J. (1963b). Monetary history of the United States, 1867–1960. Princeton: Princeton University Press for the National Bureau of Economic Research.

    Google Scholar 

  • Frigg, R. (2003). Re-presenting scientific representation. Dissertation, London School of Economics.

  • Frigg, R. (2006). Scientific representation and the semantic view of theories. Theoria, 55, 49–65.

    Google Scholar 

  • Gelfert, A. (in press). Rigorous results, cross-model justification, and the transfer of empirical warrant: The case of many-body models in physics. Synthese. doi:10.1007/s11229-008-9431-6

  • Giere, R. N. (2004). How models are used to represent reality. Philosophy of Science, 71, 742–752.

    Article  Google Scholar 

  • Godfrey-Smith, P. (2006). The strategy of model-based science. Biology and Philosophy, 21, 725–740.

    Google Scholar 

  • Grüne-Yanoff, T. (2009). Learning from minimal economic models. Erkenntnis, this issue. doi:10.1007/s10670-008-9138-6.

  • Hausman, D. (1992). The inexact and separate science of economics. Cambridge: Cambridge University Press.

    Google Scholar 

  • Hoover, K. (2004). Lost causes. Journal of the History of Economic Thought, 26, 149–164.

    Article  Google Scholar 

  • Humphreys, P. (2004). Extending ourselves. Computational science, empiricism and scientific method. Oxford: Oxford University Press.

    Google Scholar 

  • Ireland, P. N. (2003). Endogeneous money or sticky prices. Journal of Monetary Economics, 1623–1648.

  • Kareken, J., & Solow, R. M. (1963). Lags in monetary policy. In Stabilization policies, commission on money and credit. Englewood Cliffs, NJ: Prentice-Hall.

  • Knuuttila, T. (2005). Models, representation, and mediation. Philosophy of Science, 72, 1260–1271.

    Article  Google Scholar 

  • Knuuttila, T. (2006). From representation to production: Parsers and parsing in language technology. In J. Lenhard, G. Küppers, & T. Shinn (Eds.), Simulation: Pragmatic constructions of reality. Sociology of the sciences yearbook (pp. 41–55). New York: Springer.

    Google Scholar 

  • Knuuttila, T. (2008). Representation, idealization, and fiction in economics: From the assumptions issue to the epistemology of modelling. In M. Suárez (Ed.), Fictions in science: Philosophical essays on modeling and idealization (pp. 205–231). New York: Routledge.

    Google Scholar 

  • Kuorikoski, J., & Lehtinen, A. (2009). Incredible worlds, credible results. Erkenntnis, this issue. doi:10.1007/s10670-008-9140-z.

  • Kuorikoski, J., Lehtinen, A., & Marchionni, C. (2007). Economics as robustness analysis. Paper presented at the Models and Simulations 2 conference, Tilburg, NL, http://philsci-archive.pitt.edu/archive/00003550/.

  • Lucas, R. E., Jr. (1980). Methods and problems in business cycle theory. Journal of Money, Credit and Banking, 12(4), 696–715.

    Article  Google Scholar 

  • Lucas, R. E., Jr. (1981). Studies in business-cycle theory. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Lynch, M. (1990). The externalized retina: Selection and mathematization in the visual documentation of objects in life sciences. In M. Lynch & S. Woolgar (Eds.), Representation in scientific practice (pp. 153–186). Cambridge, MA: MIT Press.

    Google Scholar 

  • Mäki, U. (1990). Studies in realism and explanation in economics. Helsinki: Suomalainen tiedeakatemia.

    Google Scholar 

  • Mäki, U. (1992). On the method of isolation in economics. Poznań Studies in the Philosophy of Science and Humanities, 26, 316–351.

    Google Scholar 

  • Mäki, U. (1994). Reorienting the assumptions issue. In R. Backhouse (Ed.), New directions in economic methodology (pp. 236–256). London: Routledge.

    Google Scholar 

  • Mäki, U. (2004). Realism and the nature of theory: A lesson from J.H. von Thünen for economists and geographers. Environment and Planning A, 36, 1719–1736.

    Article  Google Scholar 

  • Mäki, U. (2005). Models are experiments, experiments are models. Journal of Economic Methodology, 12, 303–315.

    Article  Google Scholar 

  • Mäki, U. (2009a). Realistic realism about unrealistic models. In H. Kincaid & D. Ross (Eds.), Oxford handbook of the philosophy of economics. Oxford: Oxford University Press.

  • Mäki, U. (2009b). MISSing the world. Models as isolations and credible surrogate systems. Erkenntnis, this issue. doi:10.1007/s10670-008-9135-9.

  • Morgan, M. S. (2003). Experiments without material intervention: Model experiments, virtual experiments, and virtually experiments. In H. Radder (Ed.), Philosophy of scientific experimentation (pp. 216–235). Pittsburgh: University of Pittsburgh Press.

    Google Scholar 

  • Morgan, M. S. (2005). Experiments versus models: New phenomena, inference and surprise. Journal of Economic Methodology, 12, 317–329.

    Article  Google Scholar 

  • Morrison, M. (1999). Models as autonomous agents. In M. S. Morgan & M. Morrison (Eds.), Models as mediators. Perspectives on natural and social science (pp. 38–65). Cambridge: Cambridge University Press.

    Google Scholar 

  • Morrison, M., & Morgan, M. S. (1999). Models as mediating instruments. In M. S. Morgan & M. Morrison (Eds.), Models as mediators. Perspectives on natural and social science (pp. 10–37). Cambridge: Cambridge University Press.

    Google Scholar 

  • Schelling, T. C. (1978). Micromotives and macrobehavior. New York: Norton.

    Google Scholar 

  • Sims, C. A. (1992). Interpreting the macroeconomic time series facts: The effects of monetary policy. European Economic Review, 36, 975–1011.

    Article  Google Scholar 

  • Solow, R. M. (1997). How did economics get that way and what way did it get? Daedalus, 126, 39–58.

    Google Scholar 

  • Suárez, M. (2003). Scientific representation: Against similarity and isomorphism. International Studies in the Philosophy of Science, 17, 225–244.

    Article  Google Scholar 

  • Suárez, M. (2004). An inferential conception of scientific representation. Philosophy of Science (Symposia), 71, 767–779.

    Article  Google Scholar 

  • Sugden, R. (2002). Credible worlds: The status of the theoretical models in economics. In U. Mäki (Ed.), Fact and fiction in economics: Models, realism, and social construction (pp. 107–136). Cambridge: Cambridge University Press.

    Google Scholar 

  • Sugden, R. (2009). Credible worlds, capacities and mechanisms. Erkenntnis, this issue. doi:10.1007/s10670-008-9134.

  • Tobin, J. (1970a). Money and income: Post hoc ergo propter hoc? The Quarterly Journal of Economics, 84, 301–317.

    Article  Google Scholar 

  • Tobin, J. (1970b). Rejoinder. The Quarterly Journal of Economics, 84, 328–329.

    Article  Google Scholar 

  • van Fraassen, B. (1980). The scientific image. Oxford: Oxford University Press.

    Google Scholar 

  • Weisberg, M. (2007a). Who is a modeler. British Journal for the Philosophy of Science, 58, 207–233.

    Article  Google Scholar 

  • Weisberg, M. (2007b). Three kinds of idealization. The Journal of Philosophy, 12, 639–659.

    Google Scholar 

Download references

Acknowledgments

I wish to thank all the participants in the workshop on ‘Models as Isolating Tools or Credible Worlds?’ at the University of Helsinki, as well as the two referees of Erkenntnis for their valuable comments on this paper. The expression “modelling styles”, which I use to describe Tobin’s ultra-Keynesian model, was suggested by Robert Sugden in the Helsinki workshop.

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Knuuttila, T. Isolating Representations Versus Credible Constructions? Economic Modelling in Theory and Practice. Erkenn 70, 59–80 (2009). https://doi.org/10.1007/s10670-008-9137-7

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