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

Author

Listed:
  • Stanislao Gualdi

    (École Centrale Paris)

  • Marco Tarzia

    (Université Pierre et Marie Curie - Paris 6)

  • Francesco Zamponi

    (Laboratoire de Physique Théorique)

  • Jean-Philippe Bouchaud

    (CFM
    Ecole Polytechnique)

Abstract

We extend in a minimal way the stylized macroeconomic Agent-Based model introduced in our previous paper (Gualdi et al. in J Econ Dyn Control 50:29–61, 2015a), with the aim of investigating the role and efficacy of monetary policy of a ‘Central Bank’ that sets the interest rate such as to steer the economy towards a prescribed inflation and employment rate. Our major finding is that provided its policy is not too aggressive (in a sense detailed in the paper) the Central Bank is successful in achieving its goals. However, the existence of different equilibrium states of the economy, separated by phase boundaries (or “dark corners”), can cause the monetary policy itself to trigger instabilities and be counter-productive. In other words, the Central Bank must navigate in a narrow window: too little is not enough, too much leads to instabilities and wildly oscillating economies. This conclusion strongly contrasts with the prediction of DSGE models.

Suggested Citation

  • Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
  • Handle: RePEc:spr:jeicoo:v:12:y:2017:i:3:d:10.1007_s11403-016-0174-z
    DOI: 10.1007/s11403-016-0174-z
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    Cited by:

    1. Wenzhi Zheng & Yuting Lou & Yu Chen, 2019. "On the Unsustainable Macroeconomy with Increasing Inequality of Firms Induced by Excessive Liquidity," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    2. 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.
    3. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2021. "Exploration of the Parameter Space in Macroeconomic Agent-Based Models," Papers 2111.08654, arXiv.org, revised Aug 2022.
    4. Dhruv Sharma & Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2020. "V-, U-, L-, or W-shaped economic recovery after COVID: Insights from an Agent Based Model," Papers 2006.08469, arXiv.org, revised Feb 2021.
    5. 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.
    6. Orlando Gomes, 2021. "Hand-to-mouth consumers, rule-of-thumb savers, and optimal control," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 229-263, April.
    7. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2022. "Exploration of the Parameter Space in Macroeconomic Models," Post-Print hal-03797418, HAL.
    8. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2018. "Policy experiments in an agent-based model with credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-17.

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