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Agent-Based simulation as a useful tool for the study of markets

Author

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  • Juliette Rouchier

    (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)

Abstract

This paper explores diverse dimensions of the use of agent-based simulation used for the analysis of market dynamics. The literature that is studied is in majority related to economics theory, but can also be part of marketing studies. The main point in this reearch is the focus that authors put on learning, diffusion, imitation and bouded rationality. Markets are seen through several sub-divisions, such as: buyer-seller interpersonal relationship; views on the global chain, including consumer-producer relationships and learning; financial markets are also widely studied.

Suggested Citation

  • Juliette Rouchier, 2008. "Agent-Based simulation as a useful tool for the study of markets," Working Papers halshs-00334051, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00334051
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00334051
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    Citations

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    Cited by:

    1. Renaud Bourlès & Juliette Rouchier, 2012. "Evolving Informal Risk-Sharing Cooperatives and Other-Regarding Preferences," Working Papers halshs-00793706, HAL.
    2. Victorien Barbet & Renaud Bourlès & Juliette Rouchier, 2020. "Informal risk-sharing cooperatives: the effect of learning and other-regarding preferences," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 451-478, April.
    3. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.

    More about this item

    Keywords

    learning; agent-based simulation; markets; diffusion; ACE; loyauté; apprentissage; simulation sociale; marché; simulation multi-agents; loyalty;
    All these keywords.

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