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Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions

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  • Edgardo Bucciarelli
  • Marcello Silvestri

Abstract

This paper aims to contribute to the debate on the determinants of financial instability suggested by Hyman P. Minsky. In particular, we discuss the difficulties of analytically addressing his theory and the new scientific frontiers opened by agent-based modeling. Hyman Minsky's work is known as the reference point for several critical strands of standard economic theory. Through these strands, he tries to provide a "financial" interpretation of Keynes's General Theory. Minsky's main research findings converge into the financial instability hypothesis (FIH), according to which in a system based on capitalistic dynamics and characterized by growing and complex financial relations, the economy tends to move from a stable system to a frail one. What causes the economy to become more fragile is derived endogenously from inherent speculative behavior of a financial nature. However, it is not easy to formalize the FIH into a rigorous analytical model. In this regard, we present a survey of Minsky's unorthodox contribution and the recent development of simulation-agent-based models as a new research agenda that can help to model his FIH.

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  • Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    • Handle: RePEc:mes:postke:v:36:y:2013:i:2:p:299-324
    DOI: 10.2753/PKE0160-3477360206
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    1. Adrian, Tobias & Shin, Hyun Song, 2010. "Liquidity and leverage," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 418-437, July.
    2. Gaffeo, Edoardo & Gallegati, Mauro & Giulioni, Gianfranco & Palestrini, Antonio, 2003. "Power laws and macroeconomic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 408-416.
    3. Fujiwara, Yoshi & Souma, Wataru & Aoyama, Hideaki & Kaizoji, Taisei & Aoki, Masanao, 2003. "Growth and fluctuations of personal income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(3), pages 598-604.
    4. Kregel, J A, 1976. "Economic Methodology in the Face of Uncertainty: The Modelling Methods of Keynes and the Post-Keynesians," Economic Journal, Royal Economic Society, vol. 86(342), pages 209-225, June.
    5. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    6. J. M. Keynes, 1937. "The General Theory of Employment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 51(2), pages 209-223.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Aoyama, Hideaki & Souma, Wataru & Fujiwara, Yoshi, 2003. "Growth and fluctuations of personal and company's income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 352-358.
    9. King, Mervyn, 1994. "Debt deflation: Theory and evidence," European Economic Review, Elsevier, vol. 38(3-4), pages 419-445, April.
    10. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    11. L. Randall Wray & Eric Tymoigne, 2009. "Macroeconomics Meets Hyman P. Minsky: The Financial Theory of Investment," Palgrave Macmillan Books, in: Giuseppe Fontana & Mark Setterfield (ed.), Macroeconomic Theory and Macroeconomic Pedagogy, chapter 12, pages 234-251, Palgrave Macmillan.
    12. Chiarella, Carl & Di Guilmi, Corrado, 2011. "The financial instability hypothesis: A stochastic microfoundation framework," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1151-1171, August.
    13. Mauro Gallegati & Gianfranco Giulioni & Nozomi Kichiji, 2003. "Complex Dynamics And Financial Fragility In An Agent-Based Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 267-282.
    14. Hyman P. Minsky, 1992. "The Financial Instability Hypothesis," Economics Working Paper Archive wp_74, Levy Economics Institute.
    15. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    16. Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.
    17. Judd, Kenneth L., 2006. "Computationally Intensive Analyses in Economics," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 17, pages 881-893, Elsevier.
    18. Jacob Viner, 1936. "Mr. Keynes on the Causes of Unemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 51(1), pages 147-167.
    19. Paul Davidson, 1978. "Money and the Real World," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-1-349-15865-2, October.
    20. 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.
    21. Robert Axtell & Robert Axelrod & Joshua M. Epstein & Michael D. Cohen, 1995. "Aligning Simulation Models: A Case Study and Results," Working Papers 95-07-065, Santa Fe Institute.
    22. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    23. Vercelli, Alessandro, 2000. "Structural financial instability and cyclical fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 11(1-2), pages 139-156, July.
    24. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    25. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    26. 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.
    27. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-862, December.
    28. Epstein, Joshua M., 2006. "Remarks on the Foundations of Agent-Based Generative Social Science," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 34, pages 1585-1604, Elsevier.
    29. Mehrling, Perry, 1999. "The vision of Hyman P. Minsky," Journal of Economic Behavior & Organization, Elsevier, vol. 39(2), pages 129-158, June.
    30. Mauro Gallegati & Alan Kirman (ed.), 1999. "Beyond the Representative Agent," Books, Edward Elgar Publishing, number 1375.
    31. Paul Davidson, 2008. "Is the current financial distress caused by the subprime mortgage crisis a Minsky moment? or is it the result of attempting to securitize illiquid noncommercial mortgage loans?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 30(4), pages 669-676, July.
    32. Machiko Nissanke & Howard Stein, 2003. "Financial Globalization and Economic Development: Toward an Institutional Foundation," Eastern Economic Journal, Eastern Economic Association, vol. 29(2), pages 287-308, Spring.
    33. Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-279, May.
    34. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    35. 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, April.
    36. H. M. Amman & D. A. Kendrick & J. Rust (ed.), 1996. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 1, number 1.
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    2. Setterfield, Mark & Gouri Suresh, Shyam, 2016. "Multi-agent systems as a tool for analyzing path-dependent macrodynamics," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 25-37.

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