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Non-linear dynamic modelling of spatial interaction

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  • Barentsen, W.

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Nijkamp, P.

Abstract

Attention 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Barentsen, W. & Nijkamp, P., 1987. "Non-linear dynamic modelling of spatial interaction," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    • Handle: RePEc:vua:wpaper:1987-63
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    References listed on IDEAS

    as
    1. 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.
    2. P Kanaroglou & K-L Liaw & Y Y Papageorgiou, 1986. "An Analysis of Migratory Systems: 1. Theory," Environment and Planning A, , vol. 18(7), pages 913-928, July.
    3. P M Allen & M Sanglier, 1981. "Urban Evolution, Self-Organization, and Decisionmaking," Environment and Planning A, , vol. 13(2), pages 167-183, February.
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