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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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    1. Lance Taylor & Stephen A. O'Connell, 1985. "A Minsky Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(Supplemen), pages 871-885.
    2. Stewart C. Myers & Nicholas S. Majluf, 1984. "Corporate Financing and Investment Decisions When Firms Have InformationThat Investors Do Not Have," NBER Working Papers 1396, National Bureau of Economic Research, Inc.
    3. Myers, Stewart C. & Majluf, Nicholas S., 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Journal of Financial Economics, Elsevier, vol. 13(2), pages 187-221, June.
    4. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    5. Foley Duncan K., 1994. "A Statistical Equilibrium Theory of Markets," Journal of Economic Theory, Elsevier, vol. 62(2), pages 321-345, April.
    6. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 235-260.
    7. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    8. Gilberto Tadeu Lima & Antonio J. A. Meirelles, 2007. "Macrodynamics of debt regimes, financial instability and growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 31(4), pages 563-580, July.
    9. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    10. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    11. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    12. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.
    13. Steven M. Fazzari & R. Glenn Hubbard & Bruce C. Petersen, 1988. "Financing Constraints and Corporate Investment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 141-206.
    14. Roberto Dieci & Xue-Zhong He & Cars Hommes (ed.), 2014. "Nonlinear Economic Dynamics and Financial Modelling," Springer Books, Springer, edition 127, number 978-3-319-07470-2, December.
    15. Till van Treeck, 2009. "A synthetic, stock--flow consistent macroeconomic model of 'financialisation'," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 33(3), pages 467-493, May.
    16. Taylor, Lance, 1985. "A Stagnationist Model of Economic Growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 9(4), pages 383-403, December.
    17. Bezemer, Dirk J., 2010. "Understanding financial crisis through accounting models," Accounting, Organizations and Society, Elsevier, vol. 35(7), pages 676-688, October.
    18. Dutt, Amitava Krishna, 1984. "Stagnation, Income Distribution and Monopoly Power," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 8(1), pages 25-40, March.
    19. Fazzari, Steven & Ferri, Piero & Greenberg, Edward, 2008. "Cash flow, investment, and Keynes-Minsky cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 555-572, March.
    20. Antoine Godin & Stephen Kinsella, 2012. "Leverage, liquidity and crisis: A simulation study," ASSRU Discussion Papers 1205, ASSRU - Algorithmic Social Science Research Unit.
    21. Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2008. "Time variation of higher moments in a financial market with heterogeneous agents: An analytical approach," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 101-136, January.
    22. Yun Kim & Alan Isaac, 2010. "The Macrodynamics of Household Debt," Working Papers 1010, Trinity College, Department of Economics.
    23. Di Guilmi, C. & Gaffeo, E. & Gallegati, M. & Palestrini, A., 2005. "International Evidence on Business Cycle Magnitude Dependence: An Analyisis of 16 Industrialized Countries, 1881-2000," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 5-16.
    24. Gatti, D. Delli & Gallegati, M. & Gardini, L., 1993. "Investment confidence, corporate debt and income fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 22(2), pages 161-187, October.
    25. Chiarella, Carl & Di Guilmi, Corrado, 2011. "The financial instability hypothesis: A stochastic microfoundation framework," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1151-1171, August.
    26. Claudio H. Dos Santos, 2005. "A stock-flow consistent general framework for formal Minskyan analyses of closed economies," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 27(4), pages 712-735.
    27. Saed Khalil & Stephen Kinsella, 2011. "Bad banks choking good banks: simulating balance sheet contagion," Working Papers 201126, Geary Institute, University College Dublin.
    28. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    29. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    30. Simone Landini & Mariacristina Uberti, 2008. "A Statistical Mechanic View of Macro-dynamics in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 121-146, September.
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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. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2021. "(Ir)rational explorers in the financial jungle," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1157-1188, September.
    4. Corrado Di Guilmi & Yoshi Fujiwara, 2020. "Does the supply network shape the firm size distribution? The Japanese case," CAMA Working Papers 2020-66, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. 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.
    6. 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.
    7. A. K. Karlis & G. Galanis & S. Terovitis & M. S. Turner, 2021. "Heterogeneity and clustering of defaults," Quantitative Finance, Taylor & Francis Journals, vol. 21(9), pages 1533-1549, September.
    8. 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.
    9. 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.
    10. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.

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