In this article, the author argues that simulation is an undervalued technique to draw conclusions about empirical phenomena in economics. If the aim is to learn about the behavior of socioeconomic systems of interest, simulations have a variety of advantages relative to alternatives such as mathematical (pen and paper) modeling and laboratory experimentation. Therefore, the author has a good prima facie reason to exploit this method more fully. The author proceed by demonstrating that frequently heard arguments against simulations are wrong, and finally the author discusses a number of more specific empirical phenomena, criticisms of one type of simulation methodology used in economics.
Axelrod, R. ( 1997). Advancing the art of simulation in social science. In R. Conte, R. Hegselmann, & P. Terna (Eds.), Simulating social phenomena (pp. 21-40). Berlin, Germany: Springer.
2.
Black, M. (Ed.). (1962). Models and archetypes. In M. Black (Ed.), Models and metaphors: Studies in language and philosophy (pp. 219-243). Ithaca, NY: Cornell University Press.
3.
Bogen, J., & Woodward, J. ( 1988). Saving the phenomena. Philosophical Review , 97, 302-352.
Cartwright, N. ( 2007). Hunting causes and using them. Cambridge , UK: Cambridge University Press.
6.
Cartwright, N.2010, `Models: Parables v Fables’, in Frigg, R. and M. Hunter (eds), Beyond Mimesis and Convention: Representation in Art and Science, Boston Studies in the Philosophy of Science262, 19-31
7.
Clemmensen, J., & Hjalgrim-Jensen, S. (1980). On the absence of carcinogenicity to man of phenobarbital. In F. Coulston & S. Shubick (Eds.), Human epidemiology and animal laboratory correlations in chemical carcinogenesis (pp. 251-65). New York, NY: Ablex.
8.
Di Paolo, E.A., J. Noble, and S. Bullock ( 2000). Simulation models as opaque thought experiments. In M. A. Bedau, J. S. McCaskill, N. H. Packard, and S. Rasmussen (Eds.), Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life, Cambridge, MA, pp. 497 -506. MIT Press.
9.
Fair, R. ( 1992). The cowles commission approach, real business cycle theories, and new Keynesian economics. In M. T. Belongia & M. R. Garfinkel (Eds.), The business cycle: Theories and evidence (pp. 133-47). Boston, MA: Kluwer.
10.
Fontana, M. ( 2006). Simulation in economics: Evidence on diffusion and communication . Journal of Artificial Societies and Social Simulation, 9, 1-15.
11.
Franklin, A. ( 1986). The neglect of experiment. Cambridge , UK: Cambridge University Press.
12.
Franklin, A. ( 1990). Experiment, right or wrong?Cambridge , UK: Cambridge University Press.
13.
Frigg, R., & Reiss, J. ( 2009). The philosophy of simulation: Hot new issues or same old stew?Synthese, 169, 593-613.
14.
Galison, P. ( 1996). Computer simulation and the trading zone. In P. Galison & D. Stump (Eds.), Disunity of science: Boundaries, contexts, and power (pp. 118-157). Stanford, CA: Stanford University Press.
15.
Gilbert, N. ( 2008). Agent-based models. Los Angeles, CA : Sage.
16.
Greek, R. and J. Greek2000: ‘Effective or not? Animal Models of AIDS’, Satya (March 2000): p. 18
17.
Grimm, V., & Railsback, S. ( 2005). Individual-based modeling and ecology. Princeton, NJ: Princeton University Press.
18.
Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W., Railsback, S., . . . DeAngelis, D. ( 2005). Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science, 310, 987-991.
19.
Guala, F. ( 2005). The methodology of experimental economics. Cambridge, UK: Cambridge University Press.
20.
Hansen, L.P., & Heckman, J. ( 1996). The empirical foundations of calibration. Journal of Economic Perspectives, 10, 87-104.
21.
Hartmann, S. ( 1996). The world as a process: Simulation in the natural and social sciences. In R. Hegselmann, U. Müller, & K. Troitzsch (Eds.), Modelling and simulation in the social sciences from the philosophy of science point of view (pp. 77-100). Dordrecht , Netherlands: Kluwer.
22.
Hoover, K. ( 1995). Facts and artifacts: Calibration and the empirical assessment of real-business-cycle models. Oxford Economic Papers, 47, 24-44.
23.
Humphreys, P. ( 1991). Computer simulations. Philosophy of Science, PSA1990, 497-506.
24.
Humphreys, P. ( 2004). Extending ourselves: Computational science, empiricism, and scientific method. Oxford, NY: Oxford University Press.
25.
Keller, E.F. ( 2003). Models, simulation, and "computer experiments." In H. Radder (Ed.), The philosophy of scientific experimentation (pp. 198-216). Pittsburgh, PA : University of Pittsburgh Press.
26.
Korb, K., & Mascaro, S. (in press). The philosophy of computer simulation.
27.
Küppers, G., Lenhard, J., & Shinn, T. ( 2006). Computer simulations: Practice, epistemology, and social dynamics. In G. Küppers, J. Lenhard, & T. Shinn (Eds.), Simulation: Pragmatic construction of reality (pp. 139-151). Dordrecht, Netherlands: Springer.
28.
Kydland, F., & Prescott, E. ( 1982). Time to build and aggregate fluctuations. Econometrica, 50, 1345-1370.
29.
Lehtinen, A., & Kuorikoski, J. (2007). Computing the perfect model: Why do economists shun simulation? Philosophy of Science, 74, 304-329.
30.
Mao C., Sudbeck EA, Venkatachalam TK, Uckun FM1999, ‘Rational design of N-[2-(2,5-dimethoxyphenylethyl)]-N’-[2-(5-bromopyridyl)]-thiourea (HI-236) as a potent non-nucleoside inhibitor of drug-resistant human immunodeficiency virus’, Bioorg Med Chem Lett. 1999 Jun 7;9(11):1593-8.
31.
Mitchell, S. ( 2009). Unsimple truths: Science, complexity, and policy. Chicago,IL: University of Chicago Press.
32.
Mooij, W., & DeAngelis, D. ( 2003). Uncertainty in spatially explicit animal dispersal models . Ecological Applications, 13, 794-805.
33.
Morgan, M. ( 2003). Experiments without material intervention: Model experiments, virtual experiments and virtually experiments. In H. Radder (Ed.), The philosophy of scientific experimentation (pp. 216-235). Pittsburgh, PA: Pittsburgh University Press.
34.
Morgan, M. ( 2004). Simulation: The birth of a technology to create "evidence" in economics. Revue d’Histoire des Sciences, 57, 341-377.
35.
Norton, S., & Suppe, F. ( 2000). Why atmospheric modeling is good science. In C. Miller & P. Edwards (Eds.), Changing the atmosphere: Expert knowledge and environmental governance (p. 72). Cambridge, MA: MIT Press.
36.
Oreskes,N., Shrader-Frechette,K., Belitz, K. ( 1994). ‘Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences, Science, 263 (5147)(Feb. 4, 1994 ), pp. 641-646
37.
Peck, S. ( 2004). Simulation as experiment: A philosophical reassessment for biological modeling. Trends in Ecology & Evolution , 19, 530-534.
38.
Pritzker, A.A.B. ( 1979). Compilation of definitions of simulation. Simulation, 33, 61-63.
39.
Pritzker, A.A.B. ( 1984). Introduction to simulation and SLAM II. New York, NY: John Wiley.
40.
Reiss, J. ( 2008). Error in economics: Towards a more evidence-based methodology . London, UK: Routledge.
41.
Schabas, Margaret2008, ‘Hume’s monetary thought experiments’ , Studies in History and Philosophy of Science39: 161-69
42.
Shanks, N., Greek, R., Nobis, N., & Greek, J. ( 2007). Animal and medicine: Do animal experiments predict human response? Skeptic, 13, 44-51.
43.
Steel, D. ( 2004). Social mechanisms and causal inference. Philosophy of the Social Sciences, 34, 55-78.
44.
Steel, D. ( 2008). Across the boundaries: Extrapolation in biology and social science. Oxford, UK: Oxford University Press.
45.
Troitzsch, K. ( 1997). Social science simulation-Origins, prospects, purposes . In R. Conte, R. Hegselmann, & P. Terna (Eds.), Simulating social phenomena (pp. 55-72). Berlin, Germany: Springer.
46.
Wainer, G., Liu, Q., Dalle, O., & Zeigler, B.P. ( 2010). Applying cellular automata and DEVS methodologies to DIGITAL GAMES: A survey. Simulation & Gaming. 41(6): 796-823
47.
Winsberg, E. ( 1999). Sanctioning models: The epistemology of simulation. Science in Context, 12, 275-292.
48.
Winsberg, E. ( 2001). Simulations, models, and theories: Complex physical systems and their representations. Philosophy of Science, 68(Proceedings), S442-S454.
49.
Zeigler, B. ( 1976). Theory of modeling and simulation. New York, NY: John Wiley.
