Gräbner, Claudius (2016): From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics.
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Abstract
We identify epistemological shifts in economics throughout the 20th century and discuss their methodological implications. After the realist research program of the Cowles commission and Lucas' rational expectations approach, several economists became dissatisfied with economic theory and initiated a shift towards instrumentalism. Recently, this movement has come under critique and a return to a realist epistemology focusing on identifying economic mechanisms is suggested. Such epistemological changes have important practical implications: they affect the discrimination among competing explanations and determine which research methods are accepted. We illustrate this by studying epistemological and methodological changes in development economics throughout the last century.
Item Type: | MPRA Paper |
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Original Title: | From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics |
Language: | English |
Keywords: | mechanism-based explanations, realism, instrumentalism, agent-based computational modeling, New Keynesian economics |
Subjects: | B - History of Economic Thought, Methodology, and Heterodox Approaches > B2 - History of Economic Thought since 1925 > B20 - General B - History of Economic Thought, Methodology, and Heterodox Approaches > B4 - Economic Methodology > B41 - Economic Methodology O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development |
Item ID: | 71933 |
Depositing User: | Claudius Graebner |
Date Deposited: | 13 Jun 2016 09:11 |
Last Modified: | 28 Sep 2019 04:31 |
References: | Arthur, B. (2010). Complexity, the Santa Fe Approach, and Non-Equilibrium Economics. History of Economic Ideas, 2, 149–166. Axelrod, R. & Hamilton, W. D. (1981). The evolution of cooperation. Science, 211(4489), 1390–1396. Barabasi, A. & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509–512. Blume, L. E. & Durlauf, S. N. (2006). Introduction. In L. E. Blume & S. N. Durlauf (Eds.), The Economy As an Evolving Complex System, III: Current Perspectives and Future Directions (pp. 1–4). Oxford University Press. Brenner, T. & Werker, C. (2007). A taxonomy of inference in simulation models. Computational Economics, 30(3), 227–244. Bunge, M. (1962). The complexity of simplicity. The Journal of Philosophy, 59 (5), 113–135. Bunge, M. (2004). How does it work? The search for explanatory mechanisms. Philosophy of the Social Sciences, 34(2), 182–210. Clauset, A., Moore, C., & Newman, M. (2008, May). Hierarchical structure and the prediction of missing links in networks. Nature, 453 (7191), 98–101. Colander, D., Howitt, P., Kirman, A., Leijonhufvud, A., & Mehrling, P. (2008). Beyond DSGE Models: Toward an Empirically Based Macroeconomics. American Economic Review, 98(2), 236–40. Deaton, A. (2010). Instruments, randomization, and learning about development. Journal of Economic Literature, 48(2), 424–55. Dixit, A. K. & Stiglitz, J. E. (1977, June). Monopolistic competition and optimum product diversity. The American Economic Review, 67 (3), 297–308. Dobusch, L. & Kapeller, J. (2012). Heterodox United vs. Mainstream City? Sketching a framework for interested pluralism in economics. Journal of Economic Issues, 46, 1035–1057. Elsner, W. (1986). Ökonomische Institutionenanalyse - Paradigmatische Entwicklung der ökonomischen Theorie und der Sinn eines Rückgriffs auf die ökonomische Klassik am Beispiel der Institutionenanalyse (”property rights“). Berlin, DE: Duncker & Humblot. Epstein, J. & Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Cambridge: The MIT Press. Fagiolo, G., Moneta, A., & Windrum, P. (2007). A critical guide to empirical validation of agent-based models in economics: methodologies, procedures, and open problems. Computational Economics, 30, 195–226. Fagiolo, G. & Roventini, A. (2012). On the scientific status of economic policy: a tale of alternative paradigms. The Knowledge Engineering Review, 27(2), 163–185. Farmer, J. D. (2013). Hypotheses non fingo: problems with the scientific method in economics. Journal of Economic Methodology, 20 (4), 377–385. Forrester, J. W. (1967). Industrial dynamics. Cambridge, MA: The MIT Press. Friedman, M. (1953). The methodology of positive economics. In Essays in positive economics (pp. 3–46). Chicago, IL, University of Chicago Press. Gigerenzer, G. (2016). Rationality without optimization: bounded rationality. In L. Macchi, M. Bagassi, & R. Viale (Eds.), Cognitive unconscious and human rationality (pp. 3–22). Cambridge, MA: The MIT Press. Gilboa, I., Postlewaite, A., Samuelson, L., & Schmeidler, D. (2014). Economic models as analogies. The Economic Journal, Accepted manuscript. Goodfriend, M. (2007). How the world achieved consensus on monetary policy. Journal of Economic Perspectives, 21(4), 47–68. Gräbner, C. (2015). Formal Approaches to Socio Economic Policy Analysis - Past and Perspectives. Forum for Social Economics. doi:10.1080/07360932.2015.1042491 Gräbner, C. & Kapeller, J. (2015). New perspectives on institutionalist pattern modelling: systemism, complexity and agent-based modelling. Journal of Economic Issues, 49(2), 433–440. Grüne-Yanoff, T. (2015, November). Why behavioural policy needs mechanistic evidence. Economics and Philosophy, FirstView, 1–21. Guerini, M. & Moneta, A. (2016). A method for agent-based models validation. LEM Working Paper Series, 2016/16. Haavelmo, T. (1944). The probability approach in econometrics. Econometrica, 12, iii–vi, 1–115. Hallak, J. C. & Levinsohn, J. (n.d.). Fooling ourselves: evaluating the globalization and growth debate. NBER Working Paper 10244. Hayden, F. G. (2006). Policymaking for a Good Society: The Social Fabric Matrix Approach to Policy Analysis and Program Evaluation. New York: Springer. Hedström, P. & Swedberg, R. (2005). Social mechanisms: an introductory essay. In P. Hedström & R. Swedberg (Eds.), Social Mechanisms. An Analytical Approach to Social Theory (pp. 1–31). Combridge, UK et al.: Cambridge University Press. Hodgson, G. M. (2015). Conceptualizing Capitalism. Institutions, Evolution, Future. Chicago: University of Chicago Press. Hodgson, G. M. & Knudsen, T. (2004). The complex evolution of a simple traffic con- vention: the functions and implications of habit. Journal of Economic Behavior & Organization, 54(1), 19–47. Kao, Y.-F. & Velupillai, K. V. (2015). Behavioural economics: classical and modern. The European Journal of the History of Economic Thought, 22 (2), 236–271. Kuhn, T. (1962). The Structure of Scientific Revolutions. Chicago, IL: University of Chicago Press. Leijonhufvud, A. (2014). Economics of the crisis and the crisis of economics. The European Journal of the History of Economic Thought, 21 (5), 760–774. Lucas, R. J. (1976, January). Econometric policy evaluation: a critique. Carnegie-Rochester Conference Series on Public Policy. 1 (1), 19–46. Mäki, U. (2009). MISSing the World. Models as Isolations and Credible Surrogate Systems. Erkenntnis, 70(1), 29–43. Mas-Colell, A., Whinston, M. D., & Green, J. R. (1995). Microeconomic theory. Oxford: Oxford University Press. Massaro, D. (2013). Heterogeneous expectations in monetary DSGE models. Journal of Economic Dynamics and Control, 37(3), 680–692. Miller, J. H. & Page, S. E. (2007). Complex Adaptive Systems. An Introduction to Computational Models of Social Life. Princeton: Princeton University Press. Moneta, A. (2005). Some Peculiarities of the Concept of Casuality in Macroeconometrics. History of Economic Ideas, 13(3), 57–82. Nisan, N., Roughgarden, T., Tardos, E., & Vazirani, V. (Eds.). (2007). Algorithmic Game Theory. New York: Cambridge University Press. Orcutt, G. (1957). A new type of socio-economic system. Review of Economics and Statistics, 38, 773–797. Pawson, R. & Tilley, N. (1997). Realistic evaluation. London, UK, SAGE Publications. Rodrik, D., Subramanian, A., & Trebbi, F. (2004). Institutions rule: the primacy of institutions over geography and integration in economic development. Journal of Economic Growth, 9, 131–165. Schelling, T. C. (1971). Dynamic models of segregation. Journal of Mathematical Sociology, 3, 143–186. Schelling, T. C. (2005). Social mechanisms and social dynamics. In P. Hedström & R. Swedberg (Eds.), Social Mechanisms. An Analytical Approach to Social Theory (pp. 32–44). Combridge, UK et al.: Cambridge University Press. Simon, H. A. (1981). The Sciences of the Artificial. Cambridge, Massachusetts: The MIT Press. Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. Sugden, R. (2000). Credible worlds: the status of theoretical models in economics. Journal of Economic Methodology, 7(1), 1–31. Tesfatsion, L. (2006). Agent-Based Computational Economics: A Constructive Approach to Economic Theory. In L. Tesfatsion & K. L. Judd (Eds.), Handbook of computational economics (Chap. 16, Vol. 2, pp. 831–880). Elsevier. Trautwein, H.-M. (2014). Three macroeconomic syntheses of vintage 1937: Hicks, Haberler, and Lundberg. The European Journal of the History of Economic Thought, 21(5), 839–870. Wadman, W. (2000). Variable Quality in Consumer Theory: Toward a Dynamic Microeconomic Theory of the Consumer. Armonk, NY, M.E. Sharpe. Witt, U. (2001). Learning to consume - a theory of wants and the growth of demand. Journal of Evolutionary Economics, 11(1), 23–36. Witt, U. (2010). Symbolic consumption and the social construction of product characteristics. Structural Change and Economic Dynamics, 21, 17–25. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/71933 |
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