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Dynamic spatial microsimulation using the concept of GHOSTs

Listed author(s):
  • 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;)

Registered author(s):

    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.

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    Article provided by International Microsimulation Association in its journal International Journal of Microsimulation.

    Volume (Year): 2 (2009)
    Issue (Month): 2 ()
    Pages: 15-26

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    Handle: RePEc:ijm:journl:v:2:y:2009:i:2:p:15-26
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    1. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    2. 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.
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