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Microeconomic Structure determines Macroeconomic Dynamics. Aoki defeats the Representative Agent

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  • Sorin Solomon
  • Natasa Golo

Abstract

Masanao Aoki developed a new methodology for a basic problem of economics: deducing rigorously the macroeconomic dynamics as emerging from the interactions of many individual agents. This includes deduction of the fractal / intermittent fluctuations of macroeconomic quantities from the granularity of the mezo-economic collective objects (large individual wealth, highly productive geographical locations, emergent technologies, emergent economic sectors) in which the micro-economic agents self-organize. In particular, we present some theoretical predictions, which also met extensive validation from empirical data in a wide range of systems: - The fractal Levy exponent of the stock market index fluctuations equals the Pareto exponent of the investors wealth distribution. The origin of the macroeconomic dynamics is therefore found in the granularity induced by the wealth / capital of the wealthiest investors. - Economic cycles consist of a Schumpeter 'creative destruction' pattern whereby the maxima are cusp-shaped while the minima are smooth. In between the cusps, the cycle consists of the sum of 2 'crossing exponentials': one decaying and the other increasing. This unification within the same theoretical framework of short term market fluctuations and long term economic cycles offers the perspective of a genuine conceptual synthesis between micro- and macroeconomics. Joining another giant of contemporary science - Phil Anderson - Aoki emphasized the role of rare, large fluctuations in the emergence of macroeconomic phenomena out of microscopic interactions and in particular their non self-averaging, in the language of statistical physics. In this light, we present a simple stochastic multi-sector growth model.

Suggested Citation

  • Sorin Solomon & Natasa Golo, 2014. "Microeconomic Structure determines Macroeconomic Dynamics. Aoki defeats the Representative Agent," Papers 1401.7496, arXiv.org.
  • Handle: RePEc:arx:papers:1401.7496
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    3. Desogus, Marco & Casu, Elisa, 2022. "Chaos, granularity, and instability in economic systems of countries with emerging market economies: relationships between GDP growth rate and increasing internal inequality," MPRA Paper 115744, University Library of Munich, Germany, revised 2022.
    4. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.
    5. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.

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