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‘Small Area Social Indicators for the Indigenous Population: Synthetic data methodology for creating small area estimates of Indigenous disadvantage’

Author

Listed:
  • Yogi Vidyattama

    (NATSEM, University of Canberra)

  • Robert Tanton

    (NATSEM, University of Canberra)

  • Nicholas Biddle

    (CAEPR, Australian National University (ANU))

Abstract

The 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.

Suggested Citation

  • Yogi Vidyattama & Robert Tanton & Nicholas Biddle, 2013. "‘Small Area Social Indicators for the Indigenous Population: Synthetic data methodology for creating small area estimates of Indigenous disadvantage’," NATSEM Working Paper Series 13/24, University of Canberra, National Centre for Social and Economic Modelling.
    • Handle: RePEc:cba:wpaper:wp1124
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    File URL: http://www.natsem.canberra.edu.au/files/download?id=1180
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    Cited by:

    1. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.

    More about this item

    Keywords

    Wellbeing; synthetic data; spatial microsimulation; Indigenous people; wellbeing;
    All these keywords.

    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

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