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Detecting self-organisational change in economic processes exhibiting logistic growth

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Author Info
John Foster (Department of Economics, University of Queensland, Brisbane QLD 4072, Australia)
Phillip Wild (The School of Economic Studies, University of Manchester, Manchester M13 9PL, UK)

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Abstract

This paper offers an econometric methodology for the detection of self-organisational change (defined in terms of the presence of time irreversibility, structural change and fundamental uncertainty) in economic processes that follow logistic diffusion growth paths in historical time. The approach we adopted is built upon recent developments in `moving window' spectral methods which are applied to the scaled residuals generated by estimated logistic diffusion models. We illustrate the use of such methods by examining the case of a financial instrument, namely, the Australian Building Society Deposit, which experienced logistic growth in its market share until bank deregulation was enacted in the 1980s. We show that there is clear evidence that self-organisational change is present over the historical period considered.

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Publisher Info
Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 9 (1999)
Issue (Month): 1 ()
Pages: 109-133
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Handle: RePEc:spr:joevec:v:9:y:1999:i:1:p:109-133

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Related research
Keywords: Discontinuity Evolution Logistic diffusion Non-linearity Non-stationarity Self-organisation Spectral methods

Find related papers by JEL classification:
C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
C5 - Mathematical and Quantitative Methods - - Econometric Modeling
N1 - Economic History - - Macroeconomics and Monetary Economics; Growth and Fluctuations
N2 - Economic History - - Financial Markets and Institutions

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Prof John Foster, 2007. "A micro-meso-macro perspective on the methodology of evolutionary economics: integrating history, simulation and econometrics," Discussion Papers Series 343, School of Economics, University of Queensland, Australia. [Downloadable!]
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This page was last updated on 2008-8-11.


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