Random Walks in the Economic Dynamic Series
AbstractIn the present study are presented some investigations published on world periodic, which concern to whether the inherent non-stationaryity of macroeconomic time series is entirely due to a random walk or also to non-linear components. Applying the numerical tools of the analysis of dynamical systems to long-run time series for the US, we reject the hypothesis that solely a linear stochastic process generates these series. Contrary to the real business cycle theory that attributes the irregular behaviour of the system to exogenous random factors, we maintain that the fluctuations in the time series we examined cannot lie explained only by means of external shocks plugged into linear autoregressive models.
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Bibliographic InfoArticle provided by Bulgarian Academy of Sciences - Economic Research Institute in its journal Economic Thought.
Volume (Year): (2005)
Issue (Month): 2 ()
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
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