The Challenges of Combining Two Databases in Small-Area Estimation: an Example Using Spatial Microsimulation of Child Poverty

Yogi Vidyattama, Riyana Miranti, Justine McNamara, Robert Tanton, Ann Harding

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    Abstract

    Spatial microsimulation techniques have become an increasingly popular way of fulfilling the need for generating small-area data estimates. However, the technique also poses numerous methodological challenges, including the utilisation of two different databases simultaneously to produce estimates of population characteristics at the local level. An important but neglected question is whether different distributions of key variables within these two databases may affect the validity of the spatial estimation results. This study uses the significant policy issue of small-area estimates of child poverty rates in Australia to examine this question. The different income distributions for families with children in the two databases and the consequent effect on child-poverty estimates are assessed, while the apparent validity of these synthetic small-area poverty rates is gauged
    Original languageEnglish
    Pages (from-to)344-361
    Number of pages18
    JournalEnvironment and Planning A
    Volume45
    Issue number2
    DOIs
    Publication statusPublished - 2013

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    poverty
    population characteristics
    income distribution
    utilization
    rate
    family
    policy
    need
    distribution
    effect

    Cite this

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    title = "The Challenges of Combining Two Databases in Small-Area Estimation: an Example Using Spatial Microsimulation of Child Poverty",
    abstract = "Spatial microsimulation techniques have become an increasingly popular way of fulfilling the need for generating small-area data estimates. However, the technique also poses numerous methodological challenges, including the utilisation of two different databases simultaneously to produce estimates of population characteristics at the local level. An important but neglected question is whether different distributions of key variables within these two databases may affect the validity of the spatial estimation results. This study uses the significant policy issue of small-area estimates of child poverty rates in Australia to examine this question. The different income distributions for families with children in the two databases and the consequent effect on child-poverty estimates are assessed, while the apparent validity of these synthetic small-area poverty rates is gauged",
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    AU - Vidyattama, Yogi

    AU - Miranti, Riyana

    AU - McNamara, Justine

    AU - Tanton, Robert

    AU - Harding, Ann

    PY - 2013

    Y1 - 2013

    N2 - Spatial microsimulation techniques have become an increasingly popular way of fulfilling the need for generating small-area data estimates. However, the technique also poses numerous methodological challenges, including the utilisation of two different databases simultaneously to produce estimates of population characteristics at the local level. An important but neglected question is whether different distributions of key variables within these two databases may affect the validity of the spatial estimation results. This study uses the significant policy issue of small-area estimates of child poverty rates in Australia to examine this question. The different income distributions for families with children in the two databases and the consequent effect on child-poverty estimates are assessed, while the apparent validity of these synthetic small-area poverty rates is gauged

    AB - Spatial microsimulation techniques have become an increasingly popular way of fulfilling the need for generating small-area data estimates. However, the technique also poses numerous methodological challenges, including the utilisation of two different databases simultaneously to produce estimates of population characteristics at the local level. An important but neglected question is whether different distributions of key variables within these two databases may affect the validity of the spatial estimation results. This study uses the significant policy issue of small-area estimates of child poverty rates in Australia to examine this question. The different income distributions for families with children in the two databases and the consequent effect on child-poverty estimates are assessed, while the apparent validity of these synthetic small-area poverty rates is gauged

    U2 - 10.1068/A4511

    DO - 10.1068/A4511

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    JO - Environment and Planning A

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    SN - 0308-518X

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    ER -