Second Order Dynamics Of Economic Cycles
AbstractThe monthly data of the industrial production in Romania after the structural discontinuity occurring at the end of 1989 show an under-damped oscillatory behavior that suggests an evolution of second order systems excited by a step function. Since this behavior is well described in control systems we are doing what the literature usually calls a reversed engineering of the data in order to identify the specific parameters for the economic cycle of industrial production. The final goal is to determine the second order differential equation that may be associated to the economic process related to industrial production evolution. This paper is a first contribution that opens an alternative approach to describe the economic dynamics.
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Bibliographic InfoArticle provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.
Volume (Year): 6 (2009)
Issue (Month): 1 (March)
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business cycles; simulations; nonlinear methods; transition economies; mathematical methods;
Find related papers by JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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- Iancu, Aurel, 2011. "Models of Financial System Fragility," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 230-256, March.
- Purica, Ionut, 2012. "Oscillatory Dynamics of Industrial Production," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 117-128, December.
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- Cristi SPULBAR & Mihai NITOI & Cristian STANCIU, 2012. "Identifying The Industry Business Cycle Using The Markov Switching Approach In Central And Eastern Europe," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 293-300, November.
- Caraiani, Petre, 2010. "Modeling Business Cycles In The Romanian Economy Using The Markov Switching Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 130-136, March.
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