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A Rather Unusual History

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Complex Agent-Based Models

Part of the book series: New Economic Windows ((NEW))

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Abstract

As we have seen, the marginal revolution of Jevons, Menger and Walras is based on Newton’s physics, that is, on mechanistic determinism, in which cause–effect relationships are believed to be true, while statistical physics takes its first steps (the economists’ equilibrium is consequently a state of quiescence in which every single agent is in equilibrium and not, as in statistical physics, a statistical equilibrium in which the single entities may not be, but the totality is). It’s the affirmation of methodological individualism, namely, of the methodology that sees every agent acting in its own individual interest, without bothering about what the other agents do. In economics, this is known as the lack of strategy principle. In real life, as stupidity.

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References

  • Ackerman, F.: Still dead after all these years: interpreting the failure of general equilibrium theory. J. Econ. Methodol. 9(2), 139–202 (2002)

    Article  Google Scholar 

  • Albert, R., Barabási, A.L.: Dynamics of complex systems: Scaling laws for the period of Boolean’ networks. Phys. Rev. Lett. 84, 5660–5663 (2000)

    Article  Google Scholar 

  • Alfarano, S., Lux, T., Wagner, F.: Empirical validation of stochastic models of interacting agents. Eur. Phys. J. B. 55(2), 183–187 (2007)

    Article  Google Scholar 

  • Alfarano, S., Lux, T., Wagner, F.: Estimation of agent-based models: the case of an asymmetric herding model. Comput. Econ. 26(1), 19–49 (2005)

    Article  Google Scholar 

  • Anderson, P.W.: More is different. Science. 177(4047), 393–396 (1972)

    Article  Google Scholar 

  • Arrow, K.J., Debreu, G.: Existence of equilibrium for a competitive economy. Econometrica. 22, 265–290 (1954)

    Article  Google Scholar 

  • Ashraf, Q., Gershman, B., Howitt, P.: How inflation affects macroeconomic performance: an agent-based computational investigation. Macroecon. Dyn. 20, 558–581 (2016)

    Article  Google Scholar 

  • Ashraf, Q., Gershman, B., Howitt, P.: Banks, market organization, and macroeconomic performance: an agent-based computational analysis. J. Econ. Behav. Organ. 135, 143–180 (2017)

    Article  Google Scholar 

  • Assenza, T., Delli Gatti, D.: E pluribus unum: macroeconomic modelling for multiagent economies. J. Econ. Dyn. Control. 37, 1659–1682 (2013)

    Article  Google Scholar 

  • Axtell, R.L.: Zipf distribution of US firm sizes. Science. 293, 1818–1820 (2001)

    Article  Google Scholar 

  • Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science. 286(5439), 509–512 (1999)

    Article  Google Scholar 

  • Bargigli, L., Gallegati, M.: Finding communities in credit networks. E-Journal. (2012)

    Google Scholar 

  • Benhabib, R.D.: A characterization of erratic dynamics in the overlapping generations model. J. Econ. Dyn. Control. 4, 37–55 (1982)

    Article  Google Scholar 

  • Bernanke, B., Gertler, M.: Should central banks respond to movements in asset prices. Am. Econ. Rev. 91, 253–257 (2001)

    Article  Google Scholar 

  • Bianchi, C., Cirillo, P., Gallegti, M., Vagliasindi, P.: Validating and calibrating agent-based models: a case study. Comput. Econ. 30(3), 245–264 (2007)

    Article  Google Scholar 

  • Bianconi, G., Barabasi, A.L.: Competition and multiscaling in evolving networks. Europhys. Lett. 54, 436–442 (2001)

    Article  Google Scholar 

  • Bischi, G.I.: Matematica per l’economia e le scienze sociali. http://slideplayer.it/slide/191642/ (2012)

  • Blaug, M.: The formalist revolution of the 1950s. J. Hist. Econ. Thought. 25(2), 145–156 (2003)

    Article  Google Scholar 

  • Blundell, R., Stoker, T.M.: Heterogeneity and aggregation. J. Econ. Lit. 43, 347–391 (2005)

    Article  Google Scholar 

  • Boldrin, M., Montrucchio, L.: On the indeterminacy of capital accumulation paths. J. Econ. Theory. 40, 26–39 (1986)

    Article  Google Scholar 

  • Bookstaber, R.: The End of Theory. Financial Crises, the Failure of Economics, and the Sweep of Human Interaction. Princeton University Press, Princeton (2017)

    Book  Google Scholar 

  • Brock W. A., ; Colander, D. (2000). Complexity and policy. In D. Colander (Ed.), The complexity vision and the teaching of economics. Edward Elgar: Cheltenham

    Google Scholar 

  • Buchanan, M.: The Social Atom: Why the Rich Get Richer, Cheaters Get Caught, and Your Neighbor Usually Looks Like You. Bloomsbury, New York (2007)

    Google Scholar 

  • Caballero, R.J.: A fallacy of composition. Am. Econ. Rev. 82(5), 1279–1292 (1992)

    Google Scholar 

  • Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., Stiglitz, J.E.: Agent based-stock flow consistent macroeconomics: towards a benchmark model. J. Econ. Dyn. Control. 69, 375–408 (2016a)

    Article  Google Scholar 

  • Caiani, A., Palestrini, A., Russo, A., Gallegati, M. (eds.): Economics with Heterogeneous Interacting Agents. Springer, Milan (2016b)

    Google Scholar 

  • Caldarelli, G.: Scale-free Networks. Oxford University Press, Oxford (2007)

    Book  Google Scholar 

  • Canzian, G., Gaffeo, E., Tamborini, R.: Keynes in the computer laboratory an agent-based model with MEC, MPC, LP. In: Hernàndez, C., Posada, M., Lòpez-Parades, A. (eds.) Artificial Economics. The Generative Method in Economics. Springer, Berlin (2009)

    Google Scholar 

  • Capra, F., Mattei, U.: The Ecology of Law: Toward a Legal System in Tune with Nature and Community. Berrett-Koehler Publishers, Oakland, CA (2015)

    Google Scholar 

  • Catullo, E., Gallegati, M., Palestrini, A.: Towards a credit network based early warning indicator for crises. J. Econ. Dyn. Control. 50, 78–97 (2015)

    Article  Google Scholar 

  • Catullo, E., Giri, F., Gallegati, M.: Macro and micro prudential policies: sweet and lowdown in a credit network agent based model. Macroecon. Dyn. (2018)

    Google Scholar 

  • Chen, S.H.: Agent-based Computational Economics. Routledge, London (2012)

    Google Scholar 

  • Cincotti, S., Raberto, M., Teglio, A.: Credit money and macroeconomic instability in the agent-based model and simulator eurace. Economics. 4, 1–32 (2010)

    Google Scholar 

  • Cincotti, S., Raberto, M., Teglio, A.: The EURACE macroeconomic model and simulator. In: Aoki, M., Binmore, K., Deakin, S., Gintis, H. (eds.) Complexity and Institutions: Markets, Norms and Corporations, pp. 81–106. Palgrave Macmillan, New York (2012)

    Google Scholar 

  • Clarida, R., Galì, J., Gertler, M.: The science of monetary policy: a New-Keynesian perspective. J. Econ. Lit. 37, 1661–1707 (1999)

    Article  Google Scholar 

  • Clementi, F., Gallegati, M.: The Distribution of Income and Wealth. Springer, Milan (2016)

    Book  Google Scholar 

  • Clementi, F., Gallegati, M., Gianmoena, L., Landini, S., Stiglitz, J.E.: A new distributional index. Working paper, Università di Macerata (2018)

    Google Scholar 

  • Cohen, K.: Simulation of the firm. Am. Econ. Rev. 50, 534–540 (1960)

    Google Scholar 

  • Colander, D., Howitt, P., Kirman, A., Leijonhufvud, A., Mehrling, P.: Beyond DSGE models: toward an empirically based macroeconomics. Am. Econ. Rev. 98, 236–240 (2008)

    Article  Google Scholar 

  • Cozzi, T.: The macroeconomic crisis. Moneta e Credito. 64(253), 31–44 (2011)

    Google Scholar 

  • Davidson, P.: Rational expectations: a fallacious foundation for studying crucial decision-making processes. J. Post Keynes. Econ. 5, 182–198 (1982)

    Article  Google Scholar 

  • Dawid, H., Delli Gatti, D.: Agent-based macroeconomics, forthcoming (2018)

    Google Scholar 

  • Dawid, H., Gemkow, S., Harting, P., Neugart, M.: On the effects of skill upgrading in the presence of spatial labor market frictions: an agent-based analysis of spatial policy design. J. Artif. Soc. Soc. Simul. 12, 4 (2009)

    Google Scholar 

  • Dawid, H., Gemkow, S., Harting, P., Neugart, M., Kabus, K., Wersching, K.: Skills, innovation and growth: an agent-based policy analysis. J. Econ. Stat. 228, 251–275 (2008)

    Google Scholar 

  • Dawid, H., Gemkow, S., Harting, P., van der Hoog, S., Neugart, M.: Agent-based macroeconomic modeling and policy analysis: The eurace@unibi model. In: Chen, S.-H., Kaboudan, M. (eds.) Handbook on Computational Economics and Finance. Oxford University Press, New York (2018)

    Google Scholar 

  • Dawid, H., Harting, P.: Capturing rm behavior in agent-based models of industry evolution and macroeconomic dynamics (Chapter 6). In: Bunsdorf, G. (ed.) Evolution, Organization and Economic Behavior. Edward Elgar, Cheltenham (2012)

    Google Scholar 

  • Dawid, H., Harting, P., Neugart, M.: Economic convergence: policy implications from a heterogeneous agent model. J. Econ. Dyn. Control. 44, 54–80 (2014)

    Article  Google Scholar 

  • De Grauwe, P.: Top-down versus bottom-up macroeconomics. Paper presented at the CESifo Conference Whats wrong with modern macroeconomics, Munich, 6–7 November 2009 (2009)

    Google Scholar 

  • De Masi, G., Fujiwara, Y., Gallegati, M., Greenwald, B., ; Stiglitz, J. E. (2010). Empirical evidences of credit networks in Japan. Evol. Inst. Econ. Rev., 7(2), 209–232

    Article  Google Scholar 

  • Debreu, G.: Theory of Value. An Axiomatic Analysis of Economic Equilibrium. Wiley, New York (1959)

    Google Scholar 

  • Delli Gatti, D., Desiderio, S.: Monetary policy experiments in an agent-based model with financial frictions. J. Econ. Interac. Coord. 10, 265–286 (2015)

    Article  Google Scholar 

  • Delli Gatti, D., Di Guilmi, C., Gaffeo, E., Gallegati, M., Giulioni, G., ; Palestrini, A. (2004). Business cycle fluctuations and firms size distribution dynamics. Adv. Complex Syst., 7(2), 1–18

    Article  Google Scholar 

  • Delli Gatti, D., Di Guilmi, C., Gaffeo, E., Giulioni, G., Gallegati, M., Palestrini, A.: A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility. J. Econ. Behav. Organ. 56, 489–512 (2005)

    Article  Google Scholar 

  • Delli Gatti, D., Gaffeo, E., Gallegati, M.: Complex agent-based macroeconomics: a manifesto for a new paradigm. J. Econ. Interac. Coord. 5(2), 111–135 (2010a)

    Article  Google Scholar 

  • Delli Gatti, D., Gallegati, M., Cirillo, P., Desiderio, S., Gaffeo, E.: Macroeconomics from the Bottom-up. Springer, Berlin (2011)

    Book  Google Scholar 

  • Delli Gatti, D., Palestrini, A., Gaffeo, E., Giulioni, G., Gallegati, M.: Emergent macroeconomics: An agent-based approach to business fluctuations. Springer, New York (2008)

    Google Scholar 

  • Delli Gatti, D., Gallegati, M., Greenwald, B., Russo, A., Stiglitz, J.: The financial accelerator in an evolving credit network. J. Econ. Dyn. Control. 34, 1627–1650 (2010b)

    Article  Google Scholar 

  • Delli Gatti, D., Gallegati, M., Greenwald, B., Russo, A., Stiglitz, J.E.: Business fluctuations and bankruptcy avalanches in an evolving network economy. J. Econ. Interac. Coord. 4(2), 195–212 (2009)

    Article  Google Scholar 

  • Dosi, G., Fagiolo, G., Roventini, A.: An evolutionary model of endogeneous business cycles. Comput. Econ. 27(1), 3–34 (2006)

    Article  Google Scholar 

  • Dosi, G., Fagiolo, G., Roventini, A.: The microfoundations of business cycles: an evolutionary multi-agent model. J. Evol. Econ. 18, 413–432 (2008)

    Article  Google Scholar 

  • Dosi, G., Fagiolo, G., Roventini, A.: Schumpeter meeting Keynes: a policy-friendly model of endogenous growth and business cycles. J. Econ. Dyn. Control. 34, 1748–1767 (2010)

    Article  Google Scholar 

  • Dosi, G., Fagiolo, G., Napoletano, M., Roventini, A.: Income distribution, credit and fiscal policies in an agent-based Keynesian model. J. Econ. Dyn. Control. 37, 1598–1625 (2013)

    Article  Google Scholar 

  • Dosi, G., Fagiolo, G., Napoletano, M., Roventini, A., Treibich, T.: Fiscal and monetary policies in complex evolving economies. J. Econ. Dyn. Control. 52, 166–189 (2015)

    Article  Google Scholar 

  • Dosi, G., Napoletano, M., Roventini, A., Treibich, T.: Micro and macro policies in the Keynes plus Schumpeter evolutionary models. J. Evol. Econ. 27, 63–90 (2017)

    Article  Google Scholar 

  • Dosi, G., Roventini, A.: Agent-based macroeconomics and classical political economy: some Italian roots. Ital. Econ. J. 3(3), 261–283 (2017)

    Article  Google Scholar 

  • Epstein, J.M., Axtell, R.: Growing Artificial Society. Social Science from the Bottom-up. Cambridge University Press, Cambridge (1997)

    Google Scholar 

  • Fagiolo, G.: Estimation of agent-based models. In: Delli Gatti, D., Fagiolo, G., Gallegati, M., Richiardi, M., Russo, A. (eds.) Agent-Based Models. A Toolkit. Cambridge University Press, Cambridge (2018)

    Google Scholar 

  • Fagiolo, G., Roventini, A.: Macroeconomic policy in dsge and agent-based models redux: new developments and challenges ahead. J. Artif. Soc. Soc. Simul. 20, 1 (2017)

    Article  Google Scholar 

  • Farmer, D., Foley, D.: The economy needs AB modelling. Nature. 460, 685–686 (2009)

    Article  Google Scholar 

  • Feller, W.: An Introduction to Probability. Theory and its Applications. Wiley, New York (1957)

    Google Scholar 

  • Finch, J., Orillard, M. (eds.): Complexity and the Economy: Implications for Economic Policy. Edward Elgar, Cheltenham, MA (2005)

    Google Scholar 

  • Flake, G.W.: The Computational Beauty of Nature. The MIT Press, Cambridge, MA (1998)

    Google Scholar 

  • Föellmer, H.: Random economies with many interacting agents. J. Math. Econ. 1, 51–62 (1974)

    Article  Google Scholar 

  • Forni, M., Lippi, M.: Aggregation and the Microfoundations of Dynamic Macroeconomics. Oxford Clarendon Press, Oxford (1997)

    Google Scholar 

  • Fujiwara, Y.: Chain of firms bankruptcy: a macroscopic study of link effect in production network. Adv. Complex Syst. 11(5), 703–717 (2008)

    Article  Google Scholar 

  • Gabaix, X.: The granular origins of macroeconomic fluctuations. Econometrica. 79(3), 733–772 (2011)

    Google Scholar 

  • Gaffard, J.L., Napoletano, M.: Agent-Based Models and Economic Policy. Sciences Po Publications, OFCE, Paris (2012)

    Google Scholar 

  • Gaffeo, E., Delli Gatti, D., Gallegati, M., Giulioni, G., Kirman, A., Palestrini, A., Russo, A.: Complex dynamics and empirical evidence. Inf. Sci. 117, 1202–1221 (2007)

    Google Scholar 

  • Gaffeo, E., Gallegati, M., Palestrini, A.: On the size distribution of firms, additional evidence from the G7 countries. Physica A. 324, 117–123 (2003)

    Article  Google Scholar 

  • Gallegati, M.: Composition effect and economic fluctuations. Econ. Lett. 44(1–2), 123–126 (1994)

    Article  Google Scholar 

  • Gintis, H.: The dynamics of general equilibrium. Econ. J. 117(523), 1280–1309 (2007)

    Article  Google Scholar 

  • Gloria-Palermo, S.: Introducing formalism in economics: the growth model of John von Neumann. Panoeconomics. 2010(2), 153–172 (2010)

    Article  Google Scholar 

  • Gödel, K.: Über formal unentscheidbare Sätze der Principia Mathematica und verwandte Systeme I with page-facing English translation. In: Feferman, S. et al. (eds.) Kurt Gödel, Collected Works. Vol. I. Publications 1929–1936. Oxford University Press, New York, 1986. And, On formally undecidable propositions of Principia Mathematica and related systems, English translation by Meltzer B and Braithwaite RB, Dover Publications Inc. New York, 1992 (1931)

    Google Scholar 

  • Grandmont, J.M.: Endogenous competitive business cycles. Econometrica. 53, 995–1045 (1985)

    Article  Google Scholar 

  • Grazzini, J., Richiardi, M.G., Tsionas, M.: Bayesian estimation of agent-based models. J. Econ. Dyn. Control. 77, 26–47 (2017)

    Article  Google Scholar 

  • Greenwald, B., Stiglitz, J.E.: Economies with imperfect information and incomplete markets. Q. J. Econ. 101(2), 229–264 (1986)

    Article  Google Scholar 

  • Grossman, S.J., Stiglitz, J.E.: On the impossibility of informationally efficient markets. Am. Econ. Rev. 70(3), 393–408 (1980)

    Google Scholar 

  • Grossman, S.J., Stiglitz, J.E.: Information and competitive price systems. Am. Econ. Rev. 66(2), 246–253 (1976)

    Google Scholar 

  • Haber, G.: Monetary and fiscal policy analysis with an agent-based macroeconomic model. J. Econ. Stat. 228, 276–205 (2008)

    Google Scholar 

  • Haldane, A.: The dappled world. http://www.bankofengland.co.uk/publications/pages/speeches/2016/937.aspx (2016)

  • Haldane, A.G., Turrell, A.E.: An interdisciplinary model for macroeconomics. Oxf. Rev. Econ. Policy. 34(1–2), 219–251 (2018)

    Article  Google Scholar 

  • Hildenbrand, W., Kirman, A.P.: Equilibrium analysis: variations on themes by Edgeworth and Walras. North-Holland, Amsterdam (1988)

    Google Scholar 

  • Hommes, C.: Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems. Cambridge University Press, Cambridge (2013)

    Book  Google Scholar 

  • Howitt, P.: Monetary policy and the limitations of economic knowledge. In: Colander, D. (ed.) Post Walrasian Macroeconomics: Beyond the Dynamic Stochastic General Equilibrium Model, pp. 347–367. Cambridge University Press, New York (2006)

    Chapter  Google Scholar 

  • Ingrao, B., Israel, G.: The Invisible Hand, Economic Equilibrium in the History of Science. MIT Press, Cambridge, MA (1991)

    Google Scholar 

  • Ingves, S.: The monetary policy landscape in a financial crisis speech by Mr. Stefan Ingves, governor of the Sveriges Riksbank, at the Swedish economics association, Stockholm (2009)

    Google Scholar 

  • International Monetary Fund: Lessons for monetary policy from asset price fluctuations, Chap 3. World economic outlook (2009)

    Google Scholar 

  • Jackson, M.: Social and Economics Networks. Princeton University Press, Princeton (2008)

    Google Scholar 

  • Judd, K., Tesfatsion, L.: Handbook of Computational Economics, vol 2. Agent-Based Computational Economics. North-Holland, Amsterdam (2006)

    Google Scholar 

  • Keynes, J.M.: A monetary theory of production. Reprinted in The Collected Writings of John Maynard Keynes, Vol. XIII The General Theory and After: Part I Preparation, pp. 408–411. Macmillan, London (1933/1973)

    Google Scholar 

  • Kirman, A.P.: Interaction and markets. In: Gallegati, M., Kirman, A.P. (eds.) Beyond the Representative Agent. Edward Elgar, Cheltenham (2000)

    Google Scholar 

  • Kirman, A.: Whom or what does the representative individual represent? J. Econ. Perspect. 6, 117–136 (1992)

    Article  Google Scholar 

  • Kirman, A.: The Intrinsic Limit of Modern Economic Theory. The Emperor Has No Clothes. Econ. J. XCIX(395), 126–139 (1989)

    Article  Google Scholar 

  • Landini, S., Gallegati, M., Rosser, B.: Consistency and incompleteness in general equilibrium theory. J. Evol. Econ. 1–26 (2018)

    Google Scholar 

  • Leijonhufvud, A.: Out of the corridor: keynes and the crisis. Camb. J. Econ. 33(4), 741–757 (2009)

    Article  Google Scholar 

  • Lengnick, M., Wohltmann, H.-W.: Agent-based financial markets and new Keynesian macroeconomics: a synthesis. Economics working paper no. 2011, 09, Christian-Albrechts-Universität Kiel, Department of Economics (2011)

    Google Scholar 

  • Lengnick, M.: Agent-based macroeconomics: a baseline model. J. Econ. Behav. Organ. 86, 102–120 (2013)

    Article  Google Scholar 

  • Leombruni, R., Richiardi, M.: Why are economists sceptical about agent-based simulations? Physica A. 355(1), 103–109 (2004)

    Article  Google Scholar 

  • Levy, M., Solomon, S.: Power laws are logarithmic Boltzmann laws. Int. J. Modern Phys. C. 7, 595–601 (1996)

    Article  Google Scholar 

  • Mas-Colell, A., Whinston, M. D., ; Green, J. (1995). Microeconomic Theory. Oxford: Oxford University Press

    Google Scholar 

  • Mazzucato, M.: The Entrepreneurial State. Debunking Public vs. Private Sector Myths. Anthem Press, London (2013)

    Google Scholar 

  • Miller, J. H., ; Page, S.E. (2006). Complex Adaptive Systems: An Introduction to Computational Models of Social Life. New York: Princeton University Press

    Google Scholar 

  • Mirowski, P.: More Heat Than Light. Cambridge University Press, Cambridge (1989)

    Book  Google Scholar 

  • Neveu, A.: Fiscal policy and business cycle characteristics in a heterogeneous agent macro model. J. Econ. Behav. Organ. 90, 224–240 (2013)

    Article  Google Scholar 

  • Nicolis, G., Prigogine, I.: Self-Organization in Nonequilibrium Systems. Wiley, New York (1977)

    Google Scholar 

  • Nicolis, G., Nicolis, C.: Foundations of complex systems nonlinear dynamics, statistical physics, and prediction. World Scientific Publishing, Hackensack, NJ (2007)

    Book  Google Scholar 

  • Ozdagli, A., Michael Weber, M.: Monetary policy through production networks: evidence from the stock market. NBER Working paper no. 23424 (2017)

    Google Scholar 

  • Palestrini, A., Gallegati, M.: Unbiased adaptive expectation schemes. Econ. Bull. XXXV(2), 1185–1190 (2015)

    Google Scholar 

  • Pijpers, F.P.: Applications of complexity theory in official statistics. Discussion paper no. 01, Statistics Netherlands (2018)

    Google Scholar 

  • Raberto, M., Teglio, A., Cincotti, S.: Debt, deleveraging and business cycles: an agent-based perspective. Economics. 6(2012–27), 1–49 (2012)

    Google Scholar 

  • Riccetti, L., Russo, A., Gallegati, M.: Leveraged network-based financial accelerator. J. Econ. Dyn. Control. 37(8), 1626–1640 (2013)

    Article  Google Scholar 

  • Riccetti, L., Russo, A., Gallegati, M.: An agent-based decentralized matching macroeconomic model. J. Econ. Interac. Coord. 10(2), 305–332 (2015)

    Article  Google Scholar 

  • Riccetti, L., Russo, A., Gallegati, M.: Financialisation and crisis in an agent based macroeconomic model. Econ. Model. 52(PA), 162–172 (2016a)

    Article  Google Scholar 

  • Riccetti, L., Russo, A., Gallegati, M.: Stock market dynamics, leveraged network based financial accelerator and monetary policy. Int. Rev. Econ. Financ. 43(C), 509–524 (2016b)

    Article  Google Scholar 

  • Riccetti, L., Russo, A., Gallegati, M.: Financial regulation and endogenous macroeconomic crises. Macroecon. Dyn. 22(4), 896–930 (2017)

    Article  Google Scholar 

  • Riccetti, L., Russo, A., Gallegati, M.: Financial regulation and endogenous macroeconomic crises. Macroecon. Dyn. (2018)

    Google Scholar 

  • Richiardi, M.: Empirical validation of agent-based models. In: Delli Gatti, D., Fagiolo, G., Gallegati, M., Richiardi, M., Russo, A. (eds.) Agent-based Models. A Toolkit. Cambridge University Press, Cambridge (2018)

    Google Scholar 

  • Rosser Jr., J.B.: Frontiere della ricerca economica. Istituto della Enciclopedia Treccani, Roma (2009)

    Google Scholar 

  • Russo, A., Catalano, M., Gaffeo, E., Gallegati, M., Napoletano, M.: Industrial dynamics, fiscal policy and R&D: evidence from a computational experiment. J. Econ. Behav. Organ. 64, 426–447 (2007)

    Article  Google Scholar 

  • Russo, A., Riccetti, L., Gallegati: Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model. J. Evol. Econ. 26, 25–47 (2016)

    Article  Google Scholar 

  • Sabatino, M.: Politica Economica., lectures notes. Università Kore, Enna (2012)

    Google Scholar 

  • Salle, I., Yldzoglu, M., Senegas, M.-A.: Inflation targeting in a learning economy: an ABM perspective. Econ. Model. 34, 114–128 (2013)

    Article  Google Scholar 

  • Samuelson, P.A.: Foundations of Economic Analysis. Harvard University Press, Cambridge, MA (1947)

    Google Scholar 

  • Schumpeter, J.A.: History of Economic Analysis. Allen & Unwin, Sydney (1954)

    Google Scholar 

  • Seppecher, P., Salle, I.: Deleveraging crises and deep recessions: a behavioral approach. Appl. Econ. 47, 3771–3790 (2015)

    Article  Google Scholar 

  • Seppecher, P.: Flexibility of wages and macroeconomic instability in an agent-based computational model with endogenous money. Macroecon. Dyn. 16, 284–297 (2012)

    Article  Google Scholar 

  • Simon, H.: Theories of decision-making in economics and behavioral science. Am. Econ. Rev. 49, 253–283 (1959)

    Google Scholar 

  • Sornette, D., Davis, A.B., Ide, K., Vixie, K.R., Pisarenko, V., Kamm, J.R.: Algorithm for model validation: theory and applications. Proc. Nat. Acad. Sci. U.S.A. 104(16), 6562–6567 (2017). Retrieved on September 2017 from http://www.pnas.org/content/104/16/6562.short

    Article  Google Scholar 

  • Stiglitz, J.E.: Methodological issues and the new Keynesian economics. In: Vercelli, A., Dimitri, N. (eds.) Macroeconomics: A Survey of Research Strategies, pp. 38–86. Oxford University Press, Oxford (1992)

    Google Scholar 

  • Stoker, T.M.: Empirical approaches to the problem of aggregation over individuals. J. Econ. Lit. 31(4), 1827–1874 (1993)

    Google Scholar 

  • Tedeschi, G., Iori, G., Gallegati, M.: Herding effects in order driven markets: The rise and fall of gurus. J. Econ. Behav. Organ. 81, 82–96 (2012)

    Article  Google Scholar 

  • Teglio, A., Raberto, M., Cincotti, S.: The impact of banks capital adequacy regulation on the economic system: an agent-based approach. Adv. Complex. Syst. 15, (2012)

    Article  Google Scholar 

  • Tesfatsion, L.: Agent-based computational economics: growing economies from the bottom up. Artif. Life. 8, 55–82 (2002)

    Article  Google Scholar 

  • Tesfatsion, L.: Agent-based computational economics: a constructive approach to economic theory. In: Tesfatsion, L., Judd, K. (eds.) Handbook of Computational Economics, vol. II, pp. 831–880. North-Holland, Amsterdam (2006)

    Google Scholar 

  • Veblen, T.B.: Why is economics not an evolutionary science? Q. J. Econ. 12, 373–397 (1898)

    Article  Google Scholar 

  • von Hayek, F.A.: Individualism and Economic Order. University of Chicago Press, Chicago (1948)

    Google Scholar 

  • von Mises, L.: Human Action: A Treatise on Economics. Yale University Press, Yale (1949)

    Google Scholar 

  • von Neumann, J.: English version (1945-46) A model of general economic equilibrium. Rev. Econ. Stud. 14, 1–9 (1937)

    Google Scholar 

  • Wicksell, K.: Interest and Prices (trans: Kahn R., McMillan for the Royal Economic Society, London 1936) (1898)

    Google Scholar 

  • Wooldridge, M.: An introduction to multiagent systems. Wiley, New York (2001)

    Google Scholar 

Download references

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  1. Università Politecnica delle Marche, Ancona, Italy

    Mauro Gallegati

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  1. Mauro Gallegati
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Gallegati, M. (2018). A Rather Unusual History. In: Complex Agent-Based Models. New Economic Windows. Springer, Cham. https://doi.org/10.1007/978-3-319-93858-5_3

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