Regional Dimensions: Creating Synthetic Small-area Microdata and Spatial Microsimulation Models

Shih-Foong Chin, Ann Harding

    Research output: Working paperDiscussion paper

    Abstract

    This Technical Paper describes much of the work undertaken under the three-year ‘Regional Dimensions’ ARC Linkage project. The core aim of this project was to determine whether we could create synthetic small-area household microdata that were sufficiently reliable to be subsequently used by policy makers in such applications as needs-based planning, the analysis of disadvantage, and modelling the spatial impacts of policy change. The small-area household microdata were created by reweighting a national ABS sample survey to Census benchmarks for each small area. The validation undertaken suggested that the synthetic small-area data did provide reasonable estimates of the characteristics of households. The household microdata were successfully linked to NATSEM’s well-established STINMOD taxtransfer static microsimulation model, so we can now simulate the spatial impact of tax-transfer policy changes.
    Original languageEnglish
    Place of PublicationCanberra
    PublisherNATSEM
    Pages1-80
    Number of pages80
    Volume33
    ISBN (Print)1740882555
    Publication statusPublished - 2006

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    analysis
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    Cite this

    Chin, S-F., & Harding, A. (2006). Regional Dimensions: Creating Synthetic Small-area Microdata and Spatial Microsimulation Models. (pp. 1-80). Canberra: NATSEM.
    Chin, Shih-Foong ; Harding, Ann. / Regional Dimensions: Creating Synthetic Small-area Microdata and Spatial Microsimulation Models. Canberra : NATSEM, 2006. pp. 1-80
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    Regional Dimensions: Creating Synthetic Small-area Microdata and Spatial Microsimulation Models. / Chin, Shih-Foong; Harding, Ann.

    Canberra : NATSEM, 2006. p. 1-80.

    Research output: Working paperDiscussion paper

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    AB - This Technical Paper describes much of the work undertaken under the three-year ‘Regional Dimensions’ ARC Linkage project. The core aim of this project was to determine whether we could create synthetic small-area household microdata that were sufficiently reliable to be subsequently used by policy makers in such applications as needs-based planning, the analysis of disadvantage, and modelling the spatial impacts of policy change. The small-area household microdata were created by reweighting a national ABS sample survey to Census benchmarks for each small area. The validation undertaken suggested that the synthetic small-area data did provide reasonable estimates of the characteristics of households. The household microdata were successfully linked to NATSEM’s well-established STINMOD taxtransfer static microsimulation model, so we can now simulate the spatial impact of tax-transfer policy changes.

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    SN - 1740882555

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