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Technological Innovation, Financial Fragility and Complex Dynamics

Author

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  • Domenico Delli Gatti
  • Mauro Gallegati
  • Alberto Russo

Abstract

In this paper we suggest a scaling approach to business cycles. We develop a heterogeneous interacting agents (HIAs) model that replicates well known industrial dynamics stylized facts, as the power law distribution of firms' size and the Laplace distribution of firms' growth rates. In particular, the power law is a persistent but not time invariant feature of firms distribution. In order to account for the shifting behavior of the firms size power law distribution along business cycles, we propose a simple economic mechanism based on the interplay among R&D investment, technological innovation, wage dynamics and financial factors. Agent-based simulations show that power law shifts are a consequence of changes in firms' capital accumulation behavior due to technological progress and a wage - firm size relationship. We also find that the model simulation replicates important growth type stylized facts and a dynamic relationship between workers' wages and firms' profits.

Suggested Citation

  • Domenico Delli Gatti & Mauro Gallegati & Alberto Russo, 2004. "Technological Innovation, Financial Fragility and Complex Dynamics," Discussion Papers 2004/31, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
  • Handle: RePEc:pie:dsedps:2004/31
    Note: ISSN 2039-1854
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    File URL: https://www.ec.unipi.it/documents/Ricerca/papers/2004-31.pdf
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    Cited by:

    1. Marco Guerrazzi, 2005. "Notes on Continuous Dynamic Models: the Benhabib-Farmer Condition for Indeterminacy," Discussion Papers 2005/54, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    2. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    3. Lucrezia Fanti, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," Working Papers 3/18, Sapienza University of Rome, DISS.
    4. Lorenzo Corsini & Pier Mario Pacini & Luca Spataro, 2010. "Workers' Choice on Pension Schemes: an Assessment of the Italian TFR Reform Through Theory and Simulations," Discussion Papers 2010/96, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    5. Maurizio Lisciandra, 2007. "The Role of Reciprocating Behaviour in Contract Choice," Discussion Papers 2007/65, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.

    More about this item

    Keywords

    business cycle; power-law distribution; agent-based model;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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