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The Dynamics Of Leverage In A Demand-Driven Model With Heterogeneous Firms

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  • CORRADO DI GUILMI
  • LAURA CARVALHO

Abstract

This paper introduces heterogeneous microeconomic behavior into a demand-driven macroeconomic model in order to study the joint dynamics of leverage and capital accumulation. By identifying the links between firm level variables and aggregate quantities, the paper contributes toward a reformulation of the Minskyan formal analysis that explicitly considers the role of microeconomic factors in generating macroeconomic instability. The aggregation of heterogeneous agents is not only performed numerically, as in traditional agent-based models, but also by means of an innovative analytical methodology, originally developed in statistical mechanics and recently imported into macroeconomics. The distinctive feature is in that the joint analysis of the numerical and analytical solutions of the model sheds light on the effects of financial fragility at the firm level on the dynamics of the macroeconomy. In particular, the analysis of steady-state and stability properties of the system provide additional insights on the role of behavioral and size heterogeneity of firms for the stocks of aggregate debt and capital.
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  • Corrado Di Guilmi & Laura Carvalho, 2016. "The Dynamics Of Leverage In A Demand-Driven Model With Heterogeneous Firms," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 141, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2015:141
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    Cited by:

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    2. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    3. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    4. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    5. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    6. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.

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