Pushing It To The Edge: Extending Generalised Regression As A Spatial Microsimulation Method
: This paper extends a spatial microsimulation model to test how the
adding different constraints, and how results
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
ital cities. Using all
households available in Australian survey
means that the spatial microsimul
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 ha
le effect on the number of areas where estimates c
, and had little effect on the
accuracy of our estimates in areas where estimates could be made