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About some formalisms of interaction Phase transition models in economics?

Author

Listed:
  • Lordon, Frederic

    (CNRS - CEPREMAP, 142, rue du Chevaleret, F-75013 Paris, France)

  • Hors, Irene

    (OECD Development Centre - CEPREMAP, 94, rue Chardon Lagache, F-75016 Paris, France)

Abstract

The aim of the present work is to scrutinise the economic use of phase transitions formalisms and to assess their relevance. The formal correspondence between the issue of micro-macro passage when agents are interacting and the physics problem of phase transition is first set out. The second section presents two formal tools likely to be associated with these problems and to exhibit the typical phenomena of phase transition. It is then possible to highlight the key points upon which the phase transition phenomena in these formal representations rely, and then to assess the relevance of their economic "counterparts" associated with these crucial characteristics. A more general appraisal of these formalisms for economics is finally sketched.

Suggested Citation

  • Lordon, Frederic & Hors, Irene, 1997. "About some formalisms of interaction Phase transition models in economics?," Journal of Evolutionary Economics, Springer, vol. 7(4), pages 355-373.
    • Handle: RePEc:spr:joevec:v:7:y:1997:i:4:p:355-373
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    Citations

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    Cited by:

    1. Jianbo Gao & Jing Hu & Xiang Mao & Mi Zhou & Brian Gurbaxani & Johnny Lin, 2011. "Entropies of Negative Incomes, Pareto-Distributed Loss, and Financial Crises," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-6, October.
    2. Kosfeld, Michael, 2005. "Rumours and markets," Journal of Mathematical Economics, Elsevier, vol. 41(6), pages 646-664, September.
    3. Levy, Moshe, 2005. "Social phase transitions," Journal of Economic Behavior & Organization, Elsevier, vol. 57(1), pages 71-87, May.
    4. Andrzej Paszkiewicz & Bartosz Pawłowicz & Bartosz Trybus & Mateusz Salach, 2021. "Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication," Energies, MDPI, vol. 14(23), pages 1-17, December.
    5. Levy, Moshe, 2008. "Stock market crashes as social phase transitions," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 137-155, January.
    6. Sussmuth, Bernd, 2003. "Modeling the synchronization of sectoral investment cycles on the base of informational externalities," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 35-54, March.

    More about this item

    Keywords

    Mathematical methods and programming ; Analysis of collective decision-making ; Criteria for decision-making under risk and uncertainty ; General aggregative models;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models

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