Dynamic spatial microsimulation using the concept of GHOSTs
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Interational Microsimulation Association in its journal International Journal of Microsimulation.
Volume (Year): 2 (2009)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://ima.natsem.canberra.edu.au/index.htm
dynamic; spatial; small area; household space histories;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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 F85-101, February.
- Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gijs Dekkers).
If references are entirely missing, you can add them using this form.