Detecting Self-Organisational Change in Economic Processes Exhibiting Logistic Growth

Posted: 2 Mar 1999

See all articles by John Foster

John Foster

University of Queensland - School of Economics

Phillip Wild

The University of Manchester - School of Social Sciences

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.

JEL Classification: C4, C5, N1, N2

Suggested Citation

Foster, John and Wild, Phillip, Detecting Self-Organisational Change in Economic Processes Exhibiting Logistic Growth. Available at SSRN: https://ssrn.com/abstract=149151

John Foster (Contact Author)

University of Queensland - School of Economics ( email )

Brisbane, QLD 4072
Australia
61 7 3365 6780 (Phone)
61 7 3365 7299 (Fax)

Phillip Wild

The University of Manchester - School of Social Sciences ( email )

Oxford Road
Manchester, M13 9PL
United Kingdom

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