Catastrophe models and the expansion method: A review of issues and an application to the econometric modeling of economic growth. Issue 3 (1997)
- Record Type:
- Journal Article
- Title:
- Catastrophe models and the expansion method: A review of issues and an application to the econometric modeling of economic growth. Issue 3 (1997)
- Main Title:
- Catastrophe models and the expansion method: A review of issues and an application to the econometric modeling of economic growth
- Authors:
- Casetti, Emilio
- Abstract:
- Abstract : Many negative reactions to Catastrophe Theory have been triggered by overly simplistic applications unintended and unsuited for statistical-econometric estimation, inference, and testing. In this paper it is argued that stochastic catastrophe models constructed using the Expansion Method hold the most promise to widen the acceptance of Catastrophe Theory by analytically oriented scholars in the social sciences and elsewhere. The paper presents a typology of catastrophe models, and demonstrates the construction and estimation of an econometric expanded cusp catastrophe model of economic growth.
- Is Part Of:
- Discrete dynamics in nature and society. Volume 1:Issue 3(1997)
- Journal:
- Discrete dynamics in nature and society
- Issue:
- Volume 1:Issue 3(1997)
- Issue Display:
- Volume 1, Issue 3 (1997)
- Year:
- 1997
- Volume:
- 1
- Issue:
- 3
- Issue Sort Value:
- 1997-0001-0003-0000
- Page Start:
- 185
- Page End:
- 202
- Publication Date:
- 1997
- Subjects:
- Catastrophe models -- Expansion method -- Economic growth
System analysis -- Periodicals
Dynamics -- Periodicals
Chaotic behavior in systems -- Periodicals
Differentiable dynamical systems -- Periodicals
003.05 - Journal URLs:
- https://www.hindawi.com/journals/ddns/ ↗
- DOI:
- 10.1155/S1026022697000204 ↗
- Languages:
- English
- ISSNs:
- 1026-0226
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10166.xml