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.
Similar content being viewed by others
Notes
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’.
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.
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.
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.
For a discussion of this strategy in relation to other modelling strategies, see Weisberg (2007b).
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.
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.
Bailer-Jones, D. (2003). When scientific models represent. International Studies in the Philosophy of Science, 17, 59–74.
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.
Boumans, M., & Morgan, M. S. (2001). Ceteris paribus conditions: Materiality and the application of economic theories. Journal of Economic Methodology, 8, 11–26.
Brainard, W. C., & Tobin, J. (1968). Pitfalls in financial model building. American Economic Review, 58, 99–122.
Caldwell, B. J. (1982). Beyond positivism: Economic methodology in the twentieth century. London: Allen & Unwin.
Cartwright, N. (1989). Nature’s capacities and their measurement. Oxford: Clarendon Press.
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.
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.
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.
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.
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.
Friedman, M. (1953). Essays in positive economics. Chicago: Chicago University Press.
Friedman, M. (1961). The lag in the effect of monetary policy. Journal of Political Economy, LXIX, 447–466.
Friedman, M. (1970). Comment on Tobin. The Quarterly Journal of Economics, 84, 318–327.
Friedman, M., & Schwartz, A. J. (1963a). Money and business cycles. Review of Economics and Statistics, Supplement, 32–64.
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.
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.
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.
Godfrey-Smith, P. (2006). The strategy of model-based science. Biology and Philosophy, 21, 725–740.
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.
Hoover, K. (2004). Lost causes. Journal of the History of Economic Thought, 26, 149–164.
Humphreys, P. (2004). Extending ourselves. Computational science, empiricism and scientific method. Oxford: Oxford University Press.
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.
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.
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.
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.
Lucas, R. E., Jr. (1981). Studies in business-cycle theory. Cambridge, MA: The MIT Press.
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.
Mäki, U. (1990). Studies in realism and explanation in economics. Helsinki: Suomalainen tiedeakatemia.
Mäki, U. (1992). On the method of isolation in economics. Poznań Studies in the Philosophy of Science and Humanities, 26, 316–351.
Mäki, U. (1994). Reorienting the assumptions issue. In R. Backhouse (Ed.), New directions in economic methodology (pp. 236–256). London: Routledge.
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.
Mäki, U. (2005). Models are experiments, experiments are models. Journal of Economic Methodology, 12, 303–315.
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.
Morgan, M. S. (2005). Experiments versus models: New phenomena, inference and surprise. Journal of Economic Methodology, 12, 317–329.
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.
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.
Schelling, T. C. (1978). Micromotives and macrobehavior. New York: Norton.
Sims, C. A. (1992). Interpreting the macroeconomic time series facts: The effects of monetary policy. European Economic Review, 36, 975–1011.
Solow, R. M. (1997). How did economics get that way and what way did it get? Daedalus, 126, 39–58.
Suárez, M. (2003). Scientific representation: Against similarity and isomorphism. International Studies in the Philosophy of Science, 17, 225–244.
Suárez, M. (2004). An inferential conception of scientific representation. Philosophy of Science (Symposia), 71, 767–779.
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.
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.
Tobin, J. (1970b). Rejoinder. The Quarterly Journal of Economics, 84, 328–329.
van Fraassen, B. (1980). The scientific image. Oxford: Oxford University Press.
Weisberg, M. (2007a). Who is a modeler. British Journal for the Philosophy of Science, 58, 207–233.
Weisberg, M. (2007b). Three kinds of idealization. The Journal of Philosophy, 12, 639–659.
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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
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
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10670-008-9137-7