Econometric Modelling in the Presence of Evolutionary Change
AbstractA methodology is offered which can be used to construct an econometric model in the presence of structural change of an evolutionary type. The theoretical basis for such modelling is drawn from the self-organisation approach and operationalised in the context of the logistic diffusion growth model. The latter is augmented to allow for the impact of exogenous effects upon both the diffusion rate and boundary limit. We show how the hypothesis of augmented logistic diffusion can be falsified using econometric methods. An illustrative case study is used, namely the growth and decline of Australian Building Society Deposits. With the aid of this example, it is shown how the approach could be of use to both economic forecasters and regulators in conditions of structural change where conventional econometric methods are often inappropriate. Copyright 1999 by Oxford University Press.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoArticle provided by Oxford University Press in its journal Cambridge Journal of Economics.
Volume (Year): 23 (1999)
Issue (Month): 6 (November)
Contact details of provider:
Postal: Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK
Fax: 01865 267 985
Web page: http://www.cje.oupjournals.org/
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Castellacci, Fulvio & Natera, Jose Miguel, 2013.
"The dynamics of national innovation systems: A panel cointegration analysis of the coevolution between innovative capability and absorptive capacity,"
Elsevier, vol. 42(3), pages 579-594.
- Fulvio, Castellacci & Jose Miguel, Natera, 2011. "The dynamics of national innovation systems: a panel cointegration analysis of the coevolution between innovative capability and absorptive capacity," MPRA Paper 31583, University Library of Munich, Germany.
- John Foster, 2013.
"Energy, Knowledge and Economic Growth,"
Energy Economics and Management Group Working Papers
3-2013, School of Economics, University of Queensland, Australia.
- Koen Frenken, 2006. "Technological innovation and complexity theory," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(2), pages 137-155.
- Foster, John & Metcalfe, J. Stan, 2012.
"Economic emergence: An evolutionary economic perspective,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 82(2), pages 420-432.
- John Foster & J. Stan Metcalfe, 2011. "Economic Emergence: an Evolutionary Economic Perspective," Papers on Economics and Evolution 2011-12, Philipps University Marburg, Department of Geography.
- Ulrich Witt & Thomas Brenner, 2008. "Output dynamics, flow equilibria and structural change—A prolegomenon to evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 18(2), pages 249-260, April.
- Ulrich Witt & Thomas Brenner, 2007. "Output Dynamics, Flow Equilibria and Structural Change – A Prolegomenon to Evolutionary Macroeconomics," Papers on Economics and Evolution 2007-12, Philipps University Marburg, Department of Geography.
- J.S. Metcalfe, 2005. "Ed Mansfield and the Diffusion of Innovation: An Evolutionary Connection," The Journal of Technology Transfer, Springer, vol. 30(2_2), pages 171-181, 01.
- John Foster, 2005.
"From simplistic to complex systems in economics,"
Cambridge Journal of Economics,
Oxford University Press, vol. 29(6), pages 873-892, November.
- John Foster, 2014. "The Australian growth miracle: An evolutionary macroeconomic explanation," Discussion Papers Series 521, School of Economics, University of Queensland, Australia.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.