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Pour une macroéconomie monétaire dynamique et complexe

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  • Seppecher, Pascal

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Abstract

La théorie monétaire de la production, parce qu’elle s’attache à explorer les mécanismes du flux et du reflux de la monnaie dans le système économique, constitue un point d’appui essentiel pour une approche de la macroéconomie basée sur les interactions entre les agents. Cependant cette théorie s’appuie sur une représentation abstraite du temps et de l’enchaînement des interactions individuelles. Elle débouche sur des modèles qui ne rendent pas compte de façon satisfaisante de catégories aussi essentielles que le profit et l’intérêt. Les techniques de modélisation multi-agents permettent de s’affranchir des limites des modèles analytiques traditionnels. Nous décrivons la construction d’un modèle d’économie monétaire réellement dynamique, peuplé d’agents multiples, autonomes et hétérogènes en interaction directe et décentralisée, tout en respectant rigoureusement la cohérence des stocks et des flux. Par la simulation, nous observons l’émergence de dynamiques macroéconomiques complexes qui montrent que ce modèle, en donnant un contenu concret aux principes essentiels de la théorie monétaire de la production, permet d’en dépasser les contradictions.

Suggested Citation

  • Seppecher, Pascal, 2014. "Pour une macroéconomie monétaire dynamique et complexe," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 16.
  • Handle: RePEc:rvr:journl:2014:10977
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    References listed on IDEAS

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    1. Seppecher, Pascal, 2012. "Flexibility Of Wages And Macroeconomic Instability In An Agent-Based Computational Model With Endogenous Money," Macroeconomic Dynamics, Cambridge University Press, vol. 16(S2), pages 284-297, September.
    2. Pascal Seppecher, 2012. "Monnaie endogène et agents hétérogènes dans un modèle stock-flux cohérent," Post-Print hal-01071391, HAL.
    3. Graziani,Augusto, 2003. "The Monetary Theory of Production," Cambridge Books, Cambridge University Press, number 9780521812115, December.
    4. Bruun, Charlotte & Heyn-Johnsen, Carsten, 2009. "The paradox of monetary profits: an obstacle to understanding financial and economic Crisis?," Economics Discussion Papers 2009-52, Kiel Institute for the World Economy (IfW).
    5. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2012. "Debt, deleveraging and business cycles: An agent-based perspective," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-49.
    6. Jacques Le Bourva, 1962. "Création de la monnaie et multiplicateur du crédit," Revue Économique, Programme National Persée, vol. 13(1), pages 29-56.
    7. Hugues Bertrand & Alain Fauqueur, 1978. "Rotation du capital circulant et rentabilité," Revue Économique, Programme National Persée, vol. 29(2), pages 291-331.
    8. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880 Elsevier.
    9. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, January.
    10. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    11. Pascal Seppecher, 2012. "Jamel, a Java Agent-based MacroEconomic Laboratory," Working Papers halshs-00697225, HAL.
    12. Marcello MESSORI & Alberto ZAZZARO, 2004. "Monetary profits within the circuit: Ponzi finance oer "mors tua, vita mea"?," Working Papers 200, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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    Cited by:

    1. Clévenot, Mickaël & Le Héron, Edwin, 2014. "Renouveler la macroéconomie postkeynésienne ? Les modèles stock-flux cohérent et multi-agents," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 16.
    2. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the Market Really a Good Teacher? Market Selection, Collective Adaptation and Financial Instability," GREDEG Working Papers 2016-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    3. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the Market Really a Good Teacher? Market Selection, Collective Adaptation and Financial Instability," GREDEG Working Papers 2016-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.

    More about this item

    Keywords

    modèles à base d’agents multiples; monnaie endogène; modèles stockflux cohérents; agent-based computational economics; endogenous money; stock-flow consistent modeling; modelos en base a agentes múltiples; moneda endógena; modelos stock-flujos coherentes;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian

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