Small-area estimation using a generalised regression procedure

  • Robert Tanton

Student thesis: By Publication

Abstract

This thesis describes a process of small area estimation which has been used in Australia to develop estimates and projections of poverty and housing stress for small areas,and which has been linked to a Tax/Transfer microsimulation model to estimate the effects of a policy change for small areas. The thesis consists of a literature review in the area of spatial microsimulation; the five journal articles as they are published; and then a concluding chapter. The model is described in detail in one journal article,and a number of applications are presented in three other journal articles. These articles also show how the model has been validated. A fifth article shows how the model has been tested and further developed in a number of ways. The thesis concludes that the model developed is a useful addition to a microsimulation modelling toolkit,especially given the need to investigate social characteristics for small areas. The method can be used by Government's and researchers to derive not only small area estimates of a number of variables,but also small area effects of a policy change; and small area cross-tabulations for a number of variables. This flexibility of the spatial microsimulation means it is a very powerful approach to small area estimation,which can traditionally only provide point estimates for certain variables.
Date of Award1 Jan 2011
Original languageEnglish
Awarding Institution
  • University of Canberra

Cite this

Small-area estimation using a generalised regression procedure
Tanton, R. (Author). 1 Jan 2011

Student thesis: By Publication