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Economics: the next physical science?

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Abstract

We review an emerging body of work by physicists addressing questions of economic organization and function. We suggest that, beyond simply employing models familiar from physics to economic observables, remarkable regularities in economic data may suggest parts of social order that can usefully be incorporated into, and in turn can broaden, the conceptual structure of physics.

Suggested Citation

  • J. Doyne Farmer & Martin Shubik & Eric Smith, 2005. "Economics: the next physical science?," Cowles Foundation Discussion Papers 1520, Cowles Foundation for Research in Economics, Yale University.
  • Handle: RePEc:cwl:cwldpp:1520
    Note: CFP 1160.
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    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d15/d1520.pdf
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    Cited by:

    1. Louis Lefeber & Thomas Vietorisz, 2007. "The Meaning of Social Efficiency," Review of Political Economy, Taylor & Francis Journals, vol. 19(2), pages 139-164.
    2. Moura, N.J. & Ribeiro, Marcelo B., 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2088-2103.
    3. J. Doyne Farmer & John Geanakoplos, 2008. "The virtues and vices of equilibrium and the future of financial economics," Papers 0803.2996, arXiv.org.
    4. Winther, K. Tobias, 2008. "Analyzing new profit opportunities: a guide to making business projects financially successful," MPRA Paper 11346, University Library of Munich, Germany.
    5. Bongo Adi & Kenneth Amaeshi & Suminori Tokunaga, 2005. "Rational Choice, Scientific Method and Social Scientism," Method and Hist of Econ Thought 0509001, University Library of Munich, Germany.
    6. Klaus Mohn, 2010. "Autism in Economics? A Second Opinion," Forum for Social Economics, Springer;The Association for Social Economics, vol. 39(2), pages 191-208, July.
    7. Bell, William Paul, 2009. "Adaptive interactive expectations: dynamically modelling profit expectations," MPRA Paper 38260, University Library of Munich, Germany, revised 09 Feb 2010.
    8. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.
    9. Pichl, Lukáš & Kaizoji, Taisei & Yamano, Takuya, 2007. "Stylized facts in internal rates of return on stock index and its derivative transactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 219-227.
    10. Vogel, E.E. & Saravia, G. & Astete, J. & Díaz, J. & Riadi, F., 2015. "Information theory as a tool to improve individual pensions: The Chilean case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 372-382.
    11. Gajic, Nenad & Budinski-Petkovic, Ljuba, 2013. "Ups and downs of economics and econophysics — Facebook forecast," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 208-214.
    12. Alberto Ciacci & Takumi Sueshige & Hideki Takayasu & Kim Christensen & Misako Takayasu, 2020. "The microscopic relationships between triangular arbitrage and cross-currency correlations in a simple agent based model of foreign exchange markets," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-19, June.
    13. Victor M. Yakovenko, 2012. "Applications of statistical mechanics to economics: Entropic origin of the probability distributions of money, income, and energy consumption," Papers 1204.6483, arXiv.org.
    14. Sitabhra Sinha & Uday Kovur, 2013. "Uncovering the network structure of the world currency market: Cross-correlations in the fluctuations of daily exchange rates," Papers 1305.0239, arXiv.org.
    15. Sitabhra Sinha & Raj Kumar Pan, 2006. "The Power (Law) of Indian Markets: Analysing NSE and BSE trading statistics," Papers physics/0605247, arXiv.org.
    16. Amavilah, Voxi Heinrich, 2012. "The Caldwellian Methodological Pluralism: Wishful Thoughts and Personal Tendencies," MPRA Paper 44656, University Library of Munich, Germany, revised 28 Feb 2013.
    17. Stanislav S Borysov & Alexander V Balatsky, 2014. "Cross-Correlation Asymmetries and Causal Relationships between Stock and Market Risk," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-11, August.

    More about this item

    Keywords

    Economic theory; Physics; Econo-physics;
    All these keywords.

    JEL classification:

    • B49 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Other
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • G00 - Financial Economics - - General - - - General

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