‘Small Area Social Indicators for the Indigenous Population: Synthetic data methodology for creating small area estimates of Indigenous disadvantage’
AbstractThe lack of data on how the social condition of Indigenous people varies throughout Australia has created difficulties in allocating government and community programs across Indigenous communities. In the past, spatial microsimulation has been used to derive small area estimates to overcome such difficulties. However, for previous applications, a record unit file from a survey dataset has always been available on which to conduct the spatial microsimulation. For the case of indigenous disadvantage, this record unit file was not available due to the scarcity of the Indigenous population in Australia, and concerns from the ABS about confidentialising the file. This study offers a solution to this problem by proposing the building of a synthetic unit record file with observations that sum to the population totals from the actual survey file. A spatial microsimulation approach is then applied to this synthetic unit record file and the results are validated.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Canberra, National Centre for Social and Economic Modelling in its series NATSEM Working Paper Series with number 13/24.
Length: 44 pages
Date of creation: Dec 2013
Date of revision:
Publication status: Published as a NATSEM Working Paper series
Contact details of provider:
Postal: University of Canberra, ACT 2601
Phone: +61 2 (02) 6201 2750
Fax: +61 2 (02) 6201 2751
Web page: http://www.natsem.canberra.edu.au/
More information through EDIRC
Wellbeing; synthetic data; spatial microsimulation; Indigenous people; wellbeing;
Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Trueman).
If references are entirely missing, you can add them using this form.