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Price Dynamics, financial fragility and aggregate volatility

Author

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  • Antoine Mandel

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Simone Landini

    (Socioeconomic Research Institute of Piedmont - Socioeconomic Research Institute of Piedmont)

  • Mauro Gallegati

    (UNIVPM - Polytechnic University of Marche [Ancona, Italy] / Università Politecnica delle Marche [Ancona, Italia])

  • Herbert Gintis

    (Santa Fe Institute, CEU - Central European University [Budapest, Hongrie])

Abstract

Within a standard framework à la Arrow-Debreu, we investigate the dynamics emerging from the interactions of heterogeneous households and firms that are adaptive price setters and financially constrained. We show that depending on the stringency of the financial constraints the model can settle in two very different regimes: one characterized by equilibrium, the other by disequilibrium and financial fragility. We then investigate how the structure of the production network affects the emergence of aggregate volatility from micro-level price and financial shocks, hence providing a dynamical counterpart to recent results of Acemoglu and al (2012).

Suggested Citation

  • Antoine Mandel & Simone Landini & Mauro Gallegati & Herbert Gintis, 2013. "Price Dynamics, financial fragility and aggregate volatility," Post-Print halshs-00917892, HAL.
  • Handle: RePEc:hal:journl:halshs-00917892
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00917892
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    2. Gerard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 199-220, October.
    3. Mandel, Antoine & Gintis, Herbert, 2016. "Decentralized Pricing and the equivalence between Nash and Walrasian equilibrium," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 84-92.
    4. Thesmar , David & Landier , Augustin, 2014. "Instabilities in Large Economies: Aggregate Volatility Without Idiosyncratic Shocks," HEC Research Papers Series 1052, HEC Paris.
    5. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    6. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    7. Herbert Dawid & Philipp Harting & Sander Hoog & Michael Neugart, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 467-538, March.
    8. Nikolay P. Pilnik & Igor Pospelov & Ivan P. Stankevich, 2015. "Multiproduct Model Decomposition of Components of Russian GDP," HSE Working papers WP BRP 111/EC/2015, National Research University Higher School of Economics.
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    10. Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
    11. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    12. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2018. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers hal-01486597, HAL.
    13. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
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    More about this item

    Keywords

    Agent-based modeling; financial fragility; price dynamics; general equilibrium; production networks; Modélisation multi-agents; fragilité financière; dynamique des prix; équilibre général;
    All these keywords.

    JEL classification:

    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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