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Nonlinear Considerations on Economic Systems’ Behaviour

Author

Listed:
  • Purica, Ionut

    (Institute for Economic Forecasting, Romanian Academy)

Abstract

Recent work done within the CNCSIS IDEI ID_1046 financed project has resulted in some ideas related to complex system behaviour and to certain ways in which this behaviour may be described using nonlinear models especially in relation to the evolution of the PIB and its components. We are presenting here some of these results and the way an oscillatory response in industrial production may be used to determine the associated differential equation of evolution.

Suggested Citation

  • Purica, Ionut, 2010. "Nonlinear Considerations on Economic Systems’ Behaviour," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(5), pages 74-81.
  • Handle: RePEc:rjr:romjef:v::y:2010:i:5:p:74-81
    as

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    References listed on IDEAS

    as
    1. Baumol, William J & Benhabib, Jess, 1989. "Chaos: Significance, Mechanism, and Economic Applications," Journal of Economic Perspectives, American Economic Association, vol. 3(1), pages 77-105, Winter.
    2. Purica, Ionut & Caraiani, Petre, 2009. "Second Order Dynamics Of Economic Cycles," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(1), pages 36-47, March.
    3. Kaldor, Nicholas, 1972. "The Irrelevance of Equilibrium Economics," Economic Journal, Royal Economic Society, vol. 82(328), pages 1237-1255, December.
    4. Worswick, G D N, 1972. "Is Progress in Economic Science Possible?," Economic Journal, Royal Economic Society, vol. 82(325), pages 73-86, March.
    5. Morrison, Steven A & Winston, Clifford, 1987. "Empirical Implications and Tests of the Contestability Hypothesis," Journal of Law and Economics, University of Chicago Press, vol. 30(1), pages 53-66, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    nonlinear models; decision; financial crisis;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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