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Growth and allocation of resources in economics: The agent-based approach

Author

Listed:
  • Eric Guerci

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Enrico Scalas

    (DISTA - Dipartimento di Scienze e Tecnologie Avanzate - UPO - Università degli Studi del Piemonte Orientale - Amedeo Avogadro)

  • Mauro Gallegati

    (UNIVPM - Polytechnic University of Marche / Università Politecnica delle Marche)

  • David Mas

    (Chercheur indépendant)

  • Alessandra Tedeschi

    (Chercheur indépendant)

Abstract

Some agent-based models for growth and allocation of resources are described. The first class considered consists of conservative models, where the number of agents and the size of resources are constant during time evolution. The second class is made up of multiplicative noise models and some of their extensions to continuous time.

Suggested Citation

  • Eric Guerci & Enrico Scalas & Mauro Gallegati & David Mas & Alessandra Tedeschi, 2006. "Growth and allocation of resources in economics: The agent-based approach," Post-Print halshs-00871047, HAL.
    • Handle: RePEc:hal:journl:halshs-00871047
    DOI: 10.1016/j.physa.2006.04.038
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    Cited by:

    1. Einar Erlingsson & Simone Alfarano & Marco Raberto & Hlynur Stefánsson, 2013. "On the distributional properties of size, profit and growth of Icelandic firms," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 57-74, April.
    2. Angle, John, 2011. "The particle system model of income and wealth more likely to imply an analogue of thermodynamics in social science," MPRA Paper 28864, University Library of Munich, Germany.
    3. Pavel Exner & Petr v{S}eba, 2007. "A Markov process associated with plot-size distribution in Czech Land Registry and its number-theoretic properties," Papers 0711.1836, arXiv.org, revised Dec 2007.
    4. Carmen Pellicer-Lostao & Ricardo Lopez-Ruiz, 2011. "Application of Chaotic Number Generators in Econophysics," Papers 1110.4506, arXiv.org, revised Oct 2011.

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