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Statistical Mechanics Approaches to Socioeconomic Behavior

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  • Durlauf, S.N.

Abstract

This paper provides a unified framework for interpreting a wide range of interactions models which have appreared in the economic literature. The framework bears a close relationship to econometric models of descrete choice and therefore holds the potential for rendering interactions models estimable.

Suggested Citation

  • Durlauf, S.N., 1996. "Statistical Mechanics Approaches to Socioeconomic Behavior," Working papers 9617, Wisconsin Madison - Social Systems.
    • Handle: RePEc:att:wimass:9617
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    Cited by:

    1. Imre Kondor & István Csabai & Gábor Papp & Enys Mones & Gábor Czimbalmos & Máté Sándor, 2014. "Strong random correlations in networks of heterogeneous agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 203-232, October.
    2. Pratap S. Birthal & Jaweriah Hazrana & Digvijay S. Negi, 2019. "A multilevel analysis of drought risk in Indian agriculture: implications for managing risk at different geographical levels," Climatic Change, Springer, vol. 157(3), pages 499-513, December.
    3. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    4. Campi, Mercedes & Dueñas, Marco, 2020. "Volatility and economic growth in the twentieth century," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 330-343.
    5. Pierre Paga & Reimer Kuhn, 2014. "Contagion in an interacting economy," Papers 1409.2625, arXiv.org, revised Mar 2015.
    6. H. Tordjman, 1998. "Some General Questions About Markets," Working Papers ir98025, International Institute for Applied Systems Analysis.
    7. Juniper, James, 2007. "Philosophizing with a hammer? A critique of Mirowski's markomata informed by continental philosophy," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 266-283, June.
    8. Scott E. Page, 1998. "Uncertainty, Difficulty, and Complexity," Research in Economics 98-08-076e, Santa Fe Institute.
    9. Witt Ulrich & Sun Guang-Zhen, 2002. "Myopic Behavior and Cycles in Aggregate Output. A Note on the Role of Correlated Quantity Adjustments / Myopisches Verhalten und der Konjunkturzyklus. Bemerkungen zur Rolle korrelierter Mengenanpassun," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(3), pages 366-376, June.
    10. Vandewalle, N. & Ausloos, M., 1997. "Coherent and random sequences in financial fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 454-459.
    11. Binkai Chen & Dan Liu & Ming Lu, 2022. "Opportunity equality and development: Rural income mobility and city size in China," The World Economy, Wiley Blackwell, vol. 45(11), pages 3602-3624, November.
    12. Opolot, Daniel, 2012. "Social interactions and complex networks," MERIT Working Papers 2012-014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    14. Canning, D. & Amaral, L. A. N. & Lee, Y. & Meyer, M. & Stanley, H. E., 1998. "Scaling the volatility of GDP growth rates," Economics Letters, Elsevier, vol. 60(3), pages 335-341, September.

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    Keywords

    STATISTICS; ECONOMIC MODELS;

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General

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