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Business fluctuations in a credit-network economy

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Listed:
  • Domenico Delli Gatti
  • Mauro Gallegati
  • Bruce Greenwald
  • Alberto Russo
  • Joseph E. Stiglitz

Abstract

We model a network economy with three sectors: downstream firms, upstream firms, and banks. Agents are linked by productive and credit relationships so that the behavior of one agent influences the behavior of the others through network connections. Credit interlinkages among agents are a source of bankruptcy diffusion: in fact, failure of fulfilling debt commitments would lead to bankruptcy chains. All in all, the bankruptcy in one sector can diffuse to other sectors through linkages creating a vicious cycle and bankruptcy avalanches in the network economy. Our analysis show how the choices of credit supply by both banks and firms are interrelated. While the initial impact of monetary policy is on bank behaviour, we show the interactive play between the choices made by banks, the choices made by firms in their role as providers of credit, and the choices made by firms in their role as producers.

Suggested Citation

  • Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph E. Stiglitz, 2010. "Business fluctuations in a credit-network economy," Papers 1006.3521, arXiv.org.
    • Handle: RePEc:arx:papers:1006.3521
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    References listed on IDEAS

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    1. Bak, Per & Chen, Kan & Scheinkman, Jose & Woodford, Michael, 1993. "Aggregate fluctuations from independent sectoral shocks: self-organized criticality in a model of production and inventory dynamics," Ricerche Economiche, Elsevier, vol. 47(1), pages 3-30, March.
    2. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    3. 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.
    4. Stiglitz,Joseph & Greenwald,Bruce, 2003. "Towards a New Paradigm in Monetary Economics," Cambridge Books, Cambridge University Press, number 9780521810340.
    5. Bottazzi, Giulio & Secchi, Angelo, 2003. "Why are distributions of firm growth rates tent-shaped?," Economics Letters, Elsevier, vol. 80(3), pages 415-420, September.
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