Journal ArticleDOI
Poverty at the Local Level: National and Small Area Poverty Estimates by Family Type for Australia in 2006
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TLDR
In this article, the authors presented the first Australian estimates of poverty rates for different types of families at a local level, showing that people living by themselves and sole parents have the highest poverty rates.Abstract:
There is a substantial literature within Australia examining poverty rates for different family types at the national level. This study presents the first Australian estimates of poverty rates for different types of families at a local level. This paper builds upon the SpatialMSM/08B model, which fuses together data from the 2006 Australian Bureau of Statistics Census of Population and Housing and the 2002–03 and 2003–04 Surveys of Income and Housing. We examine differences in rates of income poverty for lone persons, sole parents, couples and couples with children. The results show that people living by themselves and sole parents have the highest poverty rates. In addition, there are pronounced spatial differences in the poverty rates of people living in different family situations, although the highest poverty rates for all family types tend to be in Australia’s rural areas, with poverty clusters in most of the capital cities.read more
Citations
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Journal ArticleDOI
Small area estimation using a reweighting algorithm
TL;DR: In this paper, a reweighting algorithm was used to reweight survey data to a number of known total measures for small areas to estimate small area poverty rates and housing stress.
Journal ArticleDOI
A Review of Spatial Microsimulation Methods
TL;DR: In this paper, the authors present a framework for spatial microsimulation models, gives some reasons why someone may want to use a spatial micro-simulation model, describes the development of spatial micro simulators over the last 30 years, summarises the different methods currently used for spatial simulators, and outlines how the models can be validated.
Journal ArticleDOI
‘Truncate, replicate, sample’: A method for creating integer weights for spatial microsimulation
Robin Lovelace,Dimitris Ballas +1 more
TL;DR: Truncate, replicate, sample (TRS) as mentioned in this paper is a new method for integerization of IPF weights, which is more accurate than simulated annealing and probabilistic sampling.
Journal ArticleDOI
Demographic change and the needs-based planning of government services: projecting small area populations using spatial microsimulation
TL;DR: In this article, the authors present the application of new forecasting techniques that age a spatial microdataset to 2027 and highlight the potential capacities of the new modelling approach for government service delivery planners.
References
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Book
Geographical Information Systems in Archaeology
James Conolly,Mark Lake +1 more
TL;DR: Conolly and Lake as discussed by the authors present a comprehensive manual on the use of GIS in archaeology and illustrate how it can be adapted for practical use, including issues such as spatial databases, data acquisition, spatial analysis, and techniques of visualization.
Journal ArticleDOI
The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records
TL;DR: The range of solutions that could be adapted to this problem which, ultimately, is presented as a complex combinatorial optimisation problem is explored.
Journal ArticleDOI
An evaluation of the combinatorial optimisation approach to the creation of synthetic microdata
David Voas,Paul Williamson +1 more
TL;DR: An extensive assessment of the quality of synthetic microdata produced using the combinatorial optimization approach is provided and the degree to which such data may be able to meet specific user needs is highlighted.
Dropping off the edge: the distribution of disadvantage in Australia
TL;DR: The authors identified and described the level of social disadvantage in Australian society and found that pockets of concentrated and severe social disadvantage have now become entrenched across rural and remote as well as suburban Australia.
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