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Dynamic spatial microsimulation using the concept of GHOSTs

Author

Listed:
  • David Rossiter

    (School of Geography, University of Leeds, LEEDS, LS2 9JT, UK)

  • Dimitris Ballas

    (Department of Geography, University of Sheffield, Winter Street, SHEFFIELD S10 2TN, UK;)

  • Graham Clarke

    (School of Geography, University of Leeds, LEEDS, LS2 9JT, UK)

  • Danny Dorling

    (Department of Geography, University of Sheffield, Winter Street, SHEFFIELD S10 2TN, UK;)

Abstract

This paper presents a novel method of creating and updating geographical population microdata. In particular, it presents a prototype modelling technique which forms a component of the SimBritain modelling project. The paper first briefly discusses some of the key conceptual and practical issues involved in microsimulation, in particular highlighting the differences between spatial and aspatial microsimulation models. The paper then outlines a potential alternative to fully stochastic event-driven spatial dynamic microsimulation. This alternative uses longitudinal data to produce and project Generic Household Spaces Through Time (GHOSTs), all within a spatial modelling framework. To this end the paper first outlines how to derive GHOSTs from longitudinal data, then explains how the attributes of these GHOSTs can be projected forward in time.

Suggested Citation

  • David Rossiter & Dimitris Ballas & Graham Clarke & Danny Dorling, 2009. "Dynamic spatial microsimulation using the concept of GHOSTs," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 15-26.
    • Handle: RePEc:ijm:journl:v:2:y:2009:i:2:p:15-26
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    File URL: http://ima.natsem.canberra.edu.au/IJM/V2_2/IJM_2_2_2.pdf
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    References listed on IDEAS

    as
    1. Paul Williamson, 2007. "The role of the International Journal of Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 1(1), pages 1-2.
    2. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    3. Sutherland, Holly & Piachaud, David, 2001. "Reducing Child Poverty in Britain: An Assessment of Government Policy 1997-2001," Economic Journal, Royal Economic Society, vol. 111(469), pages 85-101, February.
    4. Cathal O'Donoghue & John Lennon & Stephen Hynes, 2009. "The Life-Cycle Income Analysis Model (LIAM): a study of a flexible dynamic microsimulation modelling computing framework," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 16-31.
    5. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, October.
    Full references (including those not matched with items on IDEAS)

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