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Solution and econometric estimation of spatial dynamic models in continuous space and continuous time

Author

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  • Kieran P. Donaghy

    (Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, 111 Temple Hoyne Buell Hall, 611 East Lorado Taft Drive, Champaign, Illinois 61820, USA (e-mail: donaghy@uiuc.edu))

Abstract

. This paper presents and demonstrates a general approach to solving spatial dynamic models in continuous space and continuous time that characterize the behaviour of intertemporally and interspatially optimizing agents and estimating from discrete data the parameters of such models. The approach involves the use of a projection method to solve the models and a quasi-Newton algorithm to update quasi-FIML parameter estimates.

Suggested Citation

  • Kieran P. Donaghy, 2001. "Solution and econometric estimation of spatial dynamic models in continuous space and continuous time," Journal of Geographical Systems, Springer, vol. 3(3), pages 257-270, November.
    • Handle: RePEc:kap:jgeosy:v:3:y:2001:i:3:d:10.1007_pl00011479
    DOI: 10.1007/PL00011479
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    Cited by:

    1. Kieran Donaghy & Clifford R. Wymer & Geoffrey J. D. Hewings & Soo Jung Ha, 2017. "Structural change in the Chicago region and the impact on emission inventories in a continuous-time modeling approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-28, December.
    2. Davide Fiaschi & Angela Parenti & Cristiano Ricci, 2024. "The spatial evolution of economic activities: from theory to estimation," Papers 2407.14267, arXiv.org, revised Jul 2024.

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