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Monetary policy and dark corners in a stylized agent-based model

Author

Listed:
  • Stanislao Gualdi
  • Marco Tarzia

    (LPTMC - Laboratoire de Physique Théorique de la Matière Condensée - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique)

  • Francesco Zamponi
  • Jean-Philippe Bouchaud

Abstract

No abstract is available for this item.

Suggested Citation

  • Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Post-Print hal-03985776, HAL.
    • Handle: RePEc:hal:journl:hal-03985776
    DOI: 10.1007/s11403-016-0174-z
    as

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    Cited by:

    1. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    2. Max Sina Knicker & Karl Naumann-Woleske & Jean-Philippe Bouchaud & Francesco Zamponi, 2023. "Post-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis," Papers 2306.01284, arXiv.org, revised Jan 2024.
    3. Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2023. "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," GREDEG Working Papers 2023-14, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Jun 2024.

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