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

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Journal Article

Abstract

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

cap

ital cities. Using all

households available in Australian survey

 

means that the spatial microsimul

ation

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

d

 

litt

le effect on the number of areas where estimates c

ouldn‟t

 

be

made

, and had little effect on the

accuracy of our estimates in areas where estimates could be made

 

 

 


 

 


 

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