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Les modèles multi-agents et leurs conséquences pour l’analyse macroéconomique

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  • Mauro Napoletano

Abstract

Cet article analyse les progrès récents de la modélisation multi-agents appliquée à l'analyse macroéconomique. Je présente d'abord les principaux ingrédients des modèles multi-agents. Ensuite, en s'appuyant sur des exemples tirés de travaux récents, je montre que les modèles multi-agents apportent des éclairages complémentaires ou nouveaux sur des questions macroéconomiques clés telles que les cycles économiques endogènes, les interactions entre cycles et croissance à long terme, le rôle des ajustements de prix versus quantités dans le retour au plein emploi. Enfin, je discute certaines limites des modèles multi-agents et comment ils sont actuellement abordés dans la littérature.
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Suggested Citation

  • Mauro Napoletano, 2017. "Les modèles multi-agents et leurs conséquences pour l’analyse macroéconomique," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(4), pages 289-316.
    • Handle: RePEc:cai:reofsp:reof_153_0289
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    Cited by:

    1. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets: insights from new tools," LEM Papers Series 2018/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. repec:hal:spmain:info:hdl:2441/3tl6t49e929fla0aa2ukppot8n is not listed on IDEAS

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