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Where Do We Go, to Go Where We Have to Go?

  • Mauro Gallegati
Chapter
Part of the New Economic Windows book series (NEW)

Abstract

This booklet is built around the crisis of economic theory and the need for a different approach to economics. What do they imply and what results can we expect? Will our lives change? Will the theorists of axiomatic economics be put in the attic, alongside the geocentric universe of Purāna in the sacred texts of Hinduism, and Ptolemy? Will the Great Recession produce the same effect that inspired the papal astronomer Eustachio Manfredi, who, in the Bologna Observatory, in 1729, gave the first empirical demonstration of the motion of the Earth’s orbit around the Sun? We need a new paradigm for economics (and the economy as well).

Keywords

Learning agents Social atoms Economics and evolution 

References

  1. Anderson, P.W., Arrow, K., Pines, D.: The Economy as an Evolving Complex System. Addison-Wesley, Reading, MA (1988)Google Scholar
  2. Aoki, M.: New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria, and Externalities as Field Effects. Cambridge University Press, New York (1996)CrossRefGoogle Scholar
  3. Arthur, W.B.: Complexity and the economy. In: Colander, D. (ed.) The Complexity Vision and the Teaching of Economics. Edward Elgar, Cheltenham (2000)Google Scholar
  4. Bak, P.: How Nature Works. The Science of Self-Organized Criticality. Oxford University Press, Oxford (1997)Google Scholar
  5. Beinhocker, E.D.: The origin of wealth: evolution, complexity, and the radical remaking of economics. Harvard Business School Press, Cambridge, MA (2006)Google Scholar
  6. Blanchard, O.: The state of macro. Annu. Rev. Econ. 1(1), 209–228 (2009)CrossRefGoogle Scholar
  7. Blanchard, O.J.: Where danger lurks. Financ. Dev. LI(3), 28–31 (2014)Google Scholar
  8. Blanchard, O.: On the future of macroeconomic models. Oxf. Rev. Econ. Policy. 34(1–2), 43–54 (2018)CrossRefGoogle Scholar
  9. Ellison, G.: Learning, local interaction, and coordination. Econometrica. 61(5), 1047–1071 (1993)CrossRefGoogle Scholar
  10. Foley, D.K.: A statistical equilibrium theory of markets. J. Econ. Theory. 62(2), 321–345 (1994)CrossRefGoogle Scholar
  11. Gallegati, M.: Oltre la siepe. L’economia che verrà (The economy of the hamster, World Economic Association). Chiarelettere, Milano (2014)Google Scholar
  12. Gintis, H.: Agent-based models as Markov processes: theory and application to the dynamics of market exchange. ACM Trans. Intell. Syst. Technol. (2012)Google Scholar
  13. Jackson, T.: Prosperity Without Growth. Economics for a Finite Planet. Earthscan, London (2009)CrossRefGoogle Scholar
  14. Kirman, A.: Ants and nonoptimal self-organization: lessons for macroeconomics. Macroecon. Dyn. 20, 601–621 (2016)CrossRefGoogle Scholar
  15. Kirman, A.P.: Complex Economics: Individual and Collective Rationality. The Graz Schumpeter Lectures. Routledge, London (2011)Google Scholar
  16. Klamer, A. (ed.): Solow Conversations with Economists: New Classical Economists and Opponents Speak Out on the Current Controversy in Macroeconomics. Rowman & Allanheld, Totowa, NJ (1984)Google Scholar
  17. Landini, S., Gallegati, M., Stiglitz, J.: Economies with heterogeneous interacting learning agents. J. Econ. Interac. Coord. 10(1), 91–118 (2015)CrossRefGoogle Scholar
  18. Mcneill, J.: Something New under the Sun. An Environmental History of the 20th Century World. Norton, New York (2000)Google Scholar
  19. Miller, J. H., ; Page, S.E. (2006). Complex Adaptive Systems: An Introduction to Computational Models of Social Life. New York: Princeton University PressGoogle Scholar
  20. Page, S.: Computational models from A to Z. Complexity. 5, 35–41 (1999)CrossRefGoogle Scholar
  21. Pijpers, F.P.: Applications of complexity theory in official statistics. Discussion paper no. 01, Statistics Netherlands (2018)Google Scholar
  22. Rappaport, S.: Abstraction and unrealistic assumptions in economics. J. Econ. Methodol. 3(2), 215–236 (1996)CrossRefGoogle Scholar
  23. Rosser, J.B.: On the complexities of complex economic dynamics. J. Econ. Perspect. 13, 169–192 (1999)CrossRefGoogle Scholar
  24. Rosser, J.B.: Complexity in economics. Edward Elgar, Cheltenham (2003)Google Scholar
  25. Saari, D.: Mathematical complexity of simple economics. Not. Am. Math. Soc. 42(2), 222–230 (1995)Google Scholar
  26. Smets, F., Wouters, R.: an estimated dynamic stochastic general equilibrium model of the Euro area. J. Eur. Econ. Assoc. 1(5), 1123–1175 (2003)CrossRefGoogle Scholar
  27. Speth, J.G.: The Bridge at the Edge of the World. Capitalism, the Environment, and Crossing from Crisis to Sustainability. Yale University Press, New Haven, CT (2008)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Mauro Gallegati
    • 1
  1. 1.Università Politecnica delle MarcheAnconaItaly

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