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From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics

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  • Gräbner, Claudius

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.

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  • Gräbner, Claudius, 2016. "From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics," MPRA Paper 71933, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:71933
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    as
    1. Angus Deaton, 2010. "Instruments, Randomization, and Learning about Development," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 424-455, June.
    2. Geoffrey M. Hodgson & Thorbjørn Knudsen, 2008. "The Complex Evolution of a Simple Traffic Convention: the Functions and Implications of Habit," International Economic Association Series, in: János Kornai & László Mátyás & Gérard Roland (ed.), Institutional Change and Economic Behaviour, chapter 9, pages 178-199, Palgrave Macmillan.
    3. Hans-Michael Trautwein, 2014. "Three macroeconomic syntheses of vintage 1937: Hicks, Haberler, and Lundberg," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 21(5), pages 839-870, October.
    4. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    5. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    6. I. Gilboa & A. Postlewaite & L. Samuelson & D. Schmeidler, 2015. "Economic models as analogies," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    7. David Colander & Peter Howitt & Alan Kirman & Axel Leijonhufvud & Perry Mehrling, 2018. "Beyond DSGE Models: Toward an Empirically Based Macroeconomics," Chapters, in: How Economics Should Be Done, chapter 14, pages 212-216, Edward Elgar Publishing.
    8. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    9. J. Doyne Farmer, 2013. "Hypotheses non fingo: Problems with the scientific method in economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 20(4), pages 377-385, December.
    10. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    11. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.
    12. Axel Leijonhufvud, 2014. "Economics of the crisis and the crisis of economics," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 21(5), pages 760-774, October.
    13. Claudius Gräbner & Jakob Kapeller, 2015. "New Perspectives on Institutionalist Pattern Modeling: Systemism, Complexity, and Agent-Based Modeling," Journal of Economic Issues, Taylor & Francis Journals, vol. 49(2), pages 433-440, April.
    14. W. Brian Arthur, 2010. "Complexity, the Santa Fe approach, and non-equilibrium economics," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 149-166.
    15. Ying-Fang Kao & K. Vela Velupillai, 2015. "Behavioural economics: Classical and modern," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 22(2), pages 236-271, April.
    16. Dani Rodrik & Arvind Subramanian & Francesco Trebbi, 2004. "Institutions Rule: The Primacy of Institutions Over Geography and Integration in Economic Development," Journal of Economic Growth, Springer, vol. 9(2), pages 131-165, June.
    17. Aaron Clauset & Cristopher Moore & M. E. J. Newman, 2008. "Hierarchical structure and the prediction of missing links in networks," Nature, Nature, vol. 453(7191), pages 98-101, May.
    18. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    19. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    20. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    21. Alessio Moneta, 2005. "Some Peculiarities of the Concept of Casuality in Macroeconometrics," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 13(3), pages 57-82.
    22. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    23. Witt, Ulrich, 2010. "Symbolic consumption and the social construction of product characteristics," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 17-25, March.
    24. Ulrich Witt, 2001. "special issue: Learning to consume - A theory of wants and the growth of demand," Journal of Evolutionary Economics, Springer, vol. 11(1), pages 23-36.
    25. Gräbner, Claudius, 2015. "Formal Approaches to Socio Economic Policy Analysis - Past and Perspectives," MPRA Paper 61348, University Library of Munich, Germany.
    26. Marvin Goodfriend, 2007. "How the World Achieved Consensus on Monetary Policy," Journal of Economic Perspectives, American Economic Association, vol. 21(4), pages 47-68, Fall.
    27. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    28. repec:pri:rpdevs:deaton_instruments_randomization_learning_all_04april_2010 is not listed on IDEAS
    29. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    30. Massaro, Domenico, 2013. "Heterogeneous expectations in monetary DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 680-692.
    31. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    32. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    33. Leonhard Dobusch & Jakob Kapeller, 2012. "Heterodox United vs. Mainstream City? Sketching a Framework for Interested Pluralism in Economics," Journal of Economic Issues, Taylor & Francis Journals, vol. 46(4), pages 1035-1058.
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    More about this item

    Keywords

    mechanism-based explanations; realism; instrumentalism; agent-based computational modeling; New Keynesian economics;
    All these keywords.

    JEL classification:

    • B20 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - General
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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