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Pushing It To The Edge: Extending Generalised Regression As A Spatial Microsimulation Method

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  • Robert Tanton

    (National Centre for Social and Economic Modelling (NATSEM), University of Canberra ACT 2601, Australia)

  • Yogi Vidyattama

    (National Centre for Social and Economic Modelling (NATSEM), University of Canberra ACT 2601, Australia)

Abstract

This paper extends a spatial microsimulation model to test how the model behaves after adding different constraints, and how results using univariate constraint tables rather than multivariate constraint tables compare. This paper also tests how well non-Capital city households from a survey can estimate areas within capital cities. Using all households available in Australian survey means that the spatial microsimulation method has more households to choose from to represent the constraints in the area being estimated. In theory, this should improve the fit of the model. However, a household from another area may not be representative of households in the area being estimated. We found that, in the case that the estimated statistics is already closely related to the benchmarks used, adding a number of benchmarks had little effect on the number of areas where estimates couldnt be made, and had little effect on the accuracy of our estimates in areas where estimates could be made. However, the advantage of using more benchmarks was that the weights can be used to estimate a wider variety of outcome variables. We also found that more complex bi-variate benchmarks gave better results compared to simpler univariate benchmarks; and that using a specific sub-sample of observations from a survey gave better results in smaller capital cities in Australia (Adelaide and Perth).

Suggested Citation

  • Robert Tanton & Yogi Vidyattama, 2010. "Pushing It To The Edge: Extending Generalised Regression As A Spatial Microsimulation Method," International Journal of Microsimulation, International Microsimulation Association, vol. 3(2), pages 23-33.
  • Handle: RePEc:ijm:journl:v:3:y:2010:i:2:p:23-33
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    File URL: http://ima.natsem.canberra.edu.au/IJM/V3_2/Volume%203%20Issue%202/2_IJM_48%20Proof.pdf
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    Citations

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    Cited by:

    1. Rahman, Azizur & Harding, Ann & Tanton, Robert & Liu, Shuangzhe, 2013. "Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 149-165.
    2. Kate A Timmins & Kimberley L Edwards, 2016. "Validation of Spatial Microsimulation Models: a Proposal to Adopt the Bland-Altman Method," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 106-122.

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