Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation

Rachel Lloyd, Ann Harding

    Research output: Contribution to conference (non-published works)Abstract

    Abstract

    Regional policy makers and researchers - or national policy makers concerned with the regional impact of their decisions - rely on the availability of detailed and current small area data to inform their decision making. However, in the past it has been difficult to assess income levels and inequality, wealth, poverty, disadvantage and other socio-economic characteristics at a detailed regional level. The main source of small area socio-demographic data in Australia is the five yearly Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). However, the Census contains only limited socio-economic information, is only readily available as a pre-defined series of tables at the Collection District level, and small cells within the tables are randomised by the ABS to protect confidentiality. In addition to the Census, the ABS conducts surveys to collect detailed information on incomes, expenditures and other individual and household characteristics, such as the Household Expenditure Survey, the Survey of Income and Housing Costs and the National Health Survey. However, these surveys typically suppress geographic detail, with 'State or Territory' of residence often representing the most detailed geographic descriptor available. In the past few years NATSEM has developed spatial modelling techniques to create synthetic small area socio-economic data. This is achieved by combining the Census data with that from the ABS national sample surveys. This paper describes the techniques used to create the synthetic small area data. It then provides some examples of how the new methods and data are being used for estimation and analysis of income, wealth and other socio-economic characteristics, as well as the spatial distribution of policy change.
    Original languageEnglish
    Pages1-22
    Number of pages22
    Publication statusPublished - 2004
    EventRegional Science Association International - British and Irise - Cork, Ireland
    Duration: 18 Aug 200420 Aug 2004

    Conference

    ConferenceRegional Science Association International - British and Irise
    CountryIreland
    CityCork
    Period18/08/0420/08/04

    Fingerprint

    income
    census
    household expenditure
    health survey
    regional policy
    expenditure
    poverty
    decision making
    spatial distribution
    socioeconomics
    statistics
    cost
    modeling
    policy

    Cite this

    Lloyd, R., & Harding, A. (2004). Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation. 1-22. Abstract from Regional Science Association International - British and Irise, Cork, Ireland.
    Lloyd, Rachel ; Harding, Ann. / Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation. Abstract from Regional Science Association International - British and Irise, Cork, Ireland.22 p.
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    title = "Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation",
    abstract = "Regional policy makers and researchers - or national policy makers concerned with the regional impact of their decisions - rely on the availability of detailed and current small area data to inform their decision making. However, in the past it has been difficult to assess income levels and inequality, wealth, poverty, disadvantage and other socio-economic characteristics at a detailed regional level. The main source of small area socio-demographic data in Australia is the five yearly Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). However, the Census contains only limited socio-economic information, is only readily available as a pre-defined series of tables at the Collection District level, and small cells within the tables are randomised by the ABS to protect confidentiality. In addition to the Census, the ABS conducts surveys to collect detailed information on incomes, expenditures and other individual and household characteristics, such as the Household Expenditure Survey, the Survey of Income and Housing Costs and the National Health Survey. However, these surveys typically suppress geographic detail, with 'State or Territory' of residence often representing the most detailed geographic descriptor available. In the past few years NATSEM has developed spatial modelling techniques to create synthetic small area socio-economic data. This is achieved by combining the Census data with that from the ABS national sample surveys. This paper describes the techniques used to create the synthetic small area data. It then provides some examples of how the new methods and data are being used for estimation and analysis of income, wealth and other socio-economic characteristics, as well as the spatial distribution of policy change.",
    author = "Rachel Lloyd and Ann Harding",
    year = "2004",
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    Lloyd, R & Harding, A 2004, 'Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation' Regional Science Association International - British and Irise, Cork, Ireland, 18/08/04 - 20/08/04, pp. 1-22.

    Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation. / Lloyd, Rachel; Harding, Ann.

    2004. 1-22 Abstract from Regional Science Association International - British and Irise, Cork, Ireland.

    Research output: Contribution to conference (non-published works)Abstract

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    N2 - Regional policy makers and researchers - or national policy makers concerned with the regional impact of their decisions - rely on the availability of detailed and current small area data to inform their decision making. However, in the past it has been difficult to assess income levels and inequality, wealth, poverty, disadvantage and other socio-economic characteristics at a detailed regional level. The main source of small area socio-demographic data in Australia is the five yearly Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). However, the Census contains only limited socio-economic information, is only readily available as a pre-defined series of tables at the Collection District level, and small cells within the tables are randomised by the ABS to protect confidentiality. In addition to the Census, the ABS conducts surveys to collect detailed information on incomes, expenditures and other individual and household characteristics, such as the Household Expenditure Survey, the Survey of Income and Housing Costs and the National Health Survey. However, these surveys typically suppress geographic detail, with 'State or Territory' of residence often representing the most detailed geographic descriptor available. In the past few years NATSEM has developed spatial modelling techniques to create synthetic small area socio-economic data. This is achieved by combining the Census data with that from the ABS national sample surveys. This paper describes the techniques used to create the synthetic small area data. It then provides some examples of how the new methods and data are being used for estimation and analysis of income, wealth and other socio-economic characteristics, as well as the spatial distribution of policy change.

    AB - Regional policy makers and researchers - or national policy makers concerned with the regional impact of their decisions - rely on the availability of detailed and current small area data to inform their decision making. However, in the past it has been difficult to assess income levels and inequality, wealth, poverty, disadvantage and other socio-economic characteristics at a detailed regional level. The main source of small area socio-demographic data in Australia is the five yearly Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). However, the Census contains only limited socio-economic information, is only readily available as a pre-defined series of tables at the Collection District level, and small cells within the tables are randomised by the ABS to protect confidentiality. In addition to the Census, the ABS conducts surveys to collect detailed information on incomes, expenditures and other individual and household characteristics, such as the Household Expenditure Survey, the Survey of Income and Housing Costs and the National Health Survey. However, these surveys typically suppress geographic detail, with 'State or Territory' of residence often representing the most detailed geographic descriptor available. In the past few years NATSEM has developed spatial modelling techniques to create synthetic small area socio-economic data. This is achieved by combining the Census data with that from the ABS national sample surveys. This paper describes the techniques used to create the synthetic small area data. It then provides some examples of how the new methods and data are being used for estimation and analysis of income, wealth and other socio-economic characteristics, as well as the spatial distribution of policy change.

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    Lloyd R, Harding A. Getting Down to Small Areas: estimating regional income and wealth in Australia using spatial microsimulation. 2004. Abstract from Regional Science Association International - British and Irise, Cork, Ireland.