Complexity Economics : A Different Framework for Economic Thought

This paper provides a logical framework for complexity economics. Complexity economics builds from the proposition that the economy is not necessarily in equilibrium: economic agents (firms, consumers, investors) constantly change their actions and strategies in response to the outcome they mutually create. This further changes the outcome, which requires them to adjust afresh. Agents thus live in a world where their beliefs and strategies are constantly being “tested” for survival within an outcome or “ecology” these beliefs and strategies together create. Economics has largely avoided this nonequilibrium view in the past, but if we allow it, we see patterns or phenomena not visible to equilibrium analysis. These emerge probabilistically, last for some time and dissipate, and they correspond to complex structures in other fields. We also see the economy not as something given and existing but forming from a constantly developing set of technological innovations, institutions, and arrangements that draw forth further innovations, institutions and arrangements. Complexity economics sees the economy as in motion, perpetually “computing” itself— perpetually constructing itself anew. Where equilibrium economics emphasizes order, determinacy, deduction, and stasis, complexity economics emphasizes contingency, indeterminacy, sense-making, and openness to change. In this framework time, in the sense of real historical time, becomes important, and a solution is no longer necessarily a set of mathematical conditions but a pattern, a set of emergent phenomena, a set of changes that may induce further changes, a set of existing entities creating novel entities. Equilibrium economics is a special case of nonequilibrium and hence complexity economics, therefore complexity economics is economics done in a more general way. It shows us an economy perpetually inventing itself, creating novel structures and possibilities for exploitation, and perpetually open to response.

[1]  C. P. Sanger,et al.  Das Wesen und der Hauptinhalt der Theoretischen Nationalokonomie. , 1909 .

[2]  J. Keynes The General Theory of Employment , 1937 .

[3]  A. Turing On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .

[4]  P. Samuelson,et al.  Foundations of Economic Analysis. , 1948 .

[5]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[6]  Raimar Richers The theory of economic development , 1961 .

[7]  Joan V. Robinson What Has Become of the Keynesian Revolution , 1974 .

[8]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[9]  Kristian Lindgren,et al.  Evolutionary phenomena in simple dynamics , 1992 .

[10]  B. LeBaron,et al.  Simple Technical Trading Rules and the Stochastic Properties of Stock Returns , 1992 .

[11]  T. Sargent Bounded rationality in macroeconomics , 1993 .

[12]  R. Palmer,et al.  Artificial economic life: a simple model of a stockmarket , 1994 .

[13]  W. Arthur,et al.  Increasing Returns and Path Dependence in the Economy , 1996 .

[14]  R. Palmer,et al.  Asset Pricing Under Endogenous Expectations in an Artificial Stock Market , 1996 .

[15]  J. Schumpeter Das Wesen und der Hauptinhalt der theoretischen Nationalökonomie , 1998 .

[16]  W. Arthur,et al.  Complexity and the economy , 2014, Science.

[17]  J. B. Rosser,et al.  On the Complexities of Complex Economic Dynamics , 1999 .

[18]  R. Palmer,et al.  Time series properties of an artificial stock market , 1999 .

[19]  David Colander,et al.  The Complexity Vision and the Teaching of Economics , 2000 .

[20]  D. Simpson Rethinking Economic Behaviour , 2000 .

[21]  Philip Mirowski Machine Dreams Economics Becomes a Cyborg Science , 2001 .

[22]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[23]  Aleksei Savatyugin,et al.  The History of Economic Analysis , 2002 .

[24]  Stephen Wolfram,et al.  A New Kind of Science , 2003, Artificial Life.

[25]  M. Blaug The Formalist Revolution of the 1950s , 2003, Journal of the History of Economic Thought.

[26]  Machine Dreams: Economics Becomes a Cyborg Science: Philip Mirowski, Cambridge University Press, Cambridge, 2002 , 2004 .

[27]  D. J. Harris Joan Robinson on "History versus Equilibrium" , 2004 .

[28]  D. Reisman Schumpeter's Market: Enterprise and Evolution , 2004 .

[29]  E. Agliardi,et al.  Time in economic theory , 2004 .

[30]  G. Chaitin Meta Math!: The Quest for Omega , 2004, math/0404335.

[31]  Wolfgang Polak,et al.  The evolution of technology within a simple computer model , 2006, Complex..

[32]  J. Urry Complexity , 2006, Interpreting Art.

[33]  L. Tesfatsion Agent-based computational economics : A constructive approach to economic theory , 2006 .

[34]  Joshua M. Epstein,et al.  Remarks on the Foundations of Agent-Based Generative Social Science , 2012 .

[35]  K. Judd Computationally Intensive Analyses in Economics , 2006 .

[36]  Joshua M. Epstein,et al.  Generative Social Science , 2006 .

[37]  W. Arthur,et al.  Out-of-equilibrium economics and agent-based modeling , 2006 .

[38]  Mark E. J. Newman,et al.  Structure and Dynamics of Networks , 2009 .

[39]  Paul Davidson,et al.  Uncertainty in Economics , 2006 .

[40]  R. Axtell What economic agents do: How cognition and interaction lead to emergence and complexity , 2007 .

[41]  John B. Davis The turn in recent economics and return of orthodoxy , 2007 .

[42]  Eric D. Beinhocker The Origin of Wealth - Evolution, Complexity, and the Radical Remaking of Economics , 2007 .

[43]  David Colander,et al.  The Economy as an Evolving Complex System III: Current Perspectives and Future Directions. Edited by LAWRENCE E. BLUME and STEVEN N. DURLAUF , 2007 .

[44]  John H. Miller,et al.  Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.

[45]  Herbert Gintis,et al.  Handbook of Computational Economics: Agent-Based Computational Economics (Handbook of Computational Economics S.) by K. L. Judd, L. Tesfatsion, M. D. Intriligator and Kenneth J. Arrow (eds.) , 2007, J. Artif. Soc. Soc. Simul..

[46]  George Sugihara,et al.  Complex systems: Ecology for bankers , 2008, Nature.

[47]  R. Bronk The Romantic Economist: Imagination in Economics , 2009 .

[48]  Richard V. Adkisson The Origin of Wealth: Evolution, Complexity, and the Radical Remaking of Economics , 2009 .

[49]  John Geanakoplos,et al.  The Virtues and Vices of Equilibrium and the Future of Financial Economics , 2008, Complex..

[50]  Wolfram Elsner,et al.  A simple theory of 'meso'. On the co-evolution of institutions and platform size—With an application to varieties of capitalism and 'medium-sized' countries , 2009 .

[51]  David Lane,et al.  Complexity perspectives in innovation and social change , 2009 .

[52]  Thomas Lux,et al.  Please Scroll down for Article Critical Review the Financial Crisis and the Systemic Failure of the Economics Profession , 2022 .

[53]  César A. Hidalgo,et al.  The building blocks of economic complexity , 2009, Proceedings of the National Academy of Sciences.

[54]  W. Brian Arthur,et al.  The Nature of Technology: What it Is and How it Evolves , 2009 .

[55]  L. Smolin Time and symmetry in models of economic markets , 2009, 0902.4274.

[56]  Paul,et al.  How Did Economists Get It So Wrong , 2009 .

[57]  J. Cassidy How Markets Fail: The Logic of Economic Calamities , 2010 .

[58]  C. Hommes Bounded Rationality and Learning in Complex Markets , 2009 .

[59]  W. Brian Arthur,et al.  Complexity, the Santa Fe approach, and non-equilibrium economics , 2010 .

[60]  F. Louçã Bounded Heresies. Early intuitions of complexity in economics , 2010 .

[61]  A. Kirman The Economic Crisis is a Crisis for Economic Theory , 2010 .

[62]  M. Fontana Can Neoclassical Economics Handle Complexity? The Fallacy of the Oil Spot Dynamic , 2010 .

[63]  M. Fontana The Santa Fe Perspective on economics: emerging patterns in the science of complexity , 2010 .

[64]  Roger Koppl,et al.  BRACE for a New Interventionist Economics , 2010 .

[65]  Franklin Allen,et al.  Financial Contagion , 2000, Journal of Political Economy.

[66]  J. Barkley Rosser,et al.  The Complexity Era in Economics , 2011 .

[67]  Eric D. Beinhocker Evolution as computation: integrating self-organization with generalized Darwinism , 2011, Journal of Institutional Economics.

[68]  G. Angeletos,et al.  Decentralization, Communication, and the Origins of Fluctuations , 2011 .

[69]  R. Bronk Epistemological difficulties with neoclassical economics , 2011 .

[70]  Jeffrey Shallit,et al.  Proving Darwin: Making Biology Mathematical , 2012 .

[71]  S. Carpenter,et al.  Anticipating Critical Transitions , 2012, Science.

[72]  Oligopoly Dynamics ☆ , 2012 .

[73]  J. Doyne Farmer,et al.  Economics needs to treat the economy as a complex system , 2012 .

[74]  S. Kapadia,et al.  Andrew G Haldane: Rethinking the Financial Network , 2022 .

[75]  Tobias Galla,et al.  Complex dynamics in learning complicated games , 2011, Proceedings of the National Academy of Sciences.

[76]  D. North Competing Technologies , Increasing Returns , and Lock-In by Historical Events , 1994 .