Non-linear dynamic modelling of spatial interaction
AbstractAttention is focused on nonlinear modelling in space and time, with particular emphasis on migration behaviour. A pedagogic overview is provided of the use of dynamic models for migration behaviour based on synergetic dynamic effects. This is followed by an attempt at identifying bifurcation points in the framework of a simple residential choice model. The paper begins with a discussion of various issues related to dynamic (spatial) economic models. Then the master equation approach (and the related mean value model) is discussed as an interesting and promising dynamic modelling framework for spatial interactions with synergetic effects. Next, to illustrate the potential of this approach, a framework of a nonlinear dynamic migration model is presented. Last, some results of a simulation experiment with a simple discrete choice model are also presented, in which particular emphasis is placed on the identification of bifurcation points.
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Bibliographic InfoPaper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0063.
Date of creation: 1987
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- W Barentsen & P Nijkamp, 1988. "Nonlinear dynamic modelling of spatial interactions," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 15(4), pages 433-446, July.
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- Barentsen, W. & Nijkamp, P., 1986. "Modelling non-linear processes in time and space," Serie Research Memoranda 0050, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Fischer, Edwin O & Jammernegg, Werner, 1986. "Empirical Investigation of a Catastrophe Theory Extension of the Phillips Curve," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 9-17, February.
- P Kanaroglou & K-L Liaw & Y Y Papageorgiou, 1986. "An analysis of migratory systems: 2. Operational framework," Environment and Planning A, Pion Ltd, London, vol. 18(8), pages 1039-1060, August.
- Poot, Jacques, 1999. "A meta-analytic study of the role of government in long-run economic growth," ERSA conference papers ersa99pa171, European Regional Science Association.
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