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Unconventional monetary policies in an agent-based model with mark-to-market standards

Author

Listed:
  • Mattia Guerini

    (UniBs - Università degli Studi di Brescia = University of Brescia)

  • Francesco Lamperti

    (SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa])

  • Mauro Napoletano

    (UniCA - Université Côte d'Azur, SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa], OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

  • Andrea Roventini

    (SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa])

  • Tania Treibich

    (SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa], OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

We employ an agent-based model to shed light on the macroeconomic effects of accounting principles, unconventional monetary policies, and of their possible interactions. If mark-to-market accounting standards may entail positive feedbacks which amplify economic or financial shocks, unconventional policies may introduce negative feedbacks that might dampen instabilities in financial and real markets. For these reasons, we jointly study these two sets of policies by employing a modified version of the Schumpeter meeting Keynes (K+S) macroeconomic agent-based model.

Suggested Citation

  • Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Sciences Po Economics Publications (main) hal-03970259, HAL.
  • Handle: RePEc:hal:spmain:hal-03970259
    DOI: 10.1007/s43253-022-00065-8
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    Cited by:

    1. Pallante, Gianluca & Guerini, Mattia & Napoletano, Mauro & Roventini, Andrea, 2025. "Robust-less-fragile: Tackling systemic risk and financial contagion in a macro agent-based model," Journal of Financial Stability, Elsevier, vol. 76(C).
    2. Marco Amendola & Marcelo C. Pereira, 2025. "Are fiscal multipliers state dependent? Insights from an agent-based model," LEM Papers Series 2025/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Amendola, Marco & Pereira, Marcelo C., 2025. "State-dependent impulse responses in agent-based models: A new methodology and an economic application," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).

    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G01 - Financial Economics - - General - - - Financial Crises
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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