Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study

Riyana Miranti, Rebecca Cassells, Yogi Vidyattama, Justine McNamara

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    In this paper, we have used spatial microsimulation techniques to calculate small area inequality in Australia using disposable income data which are not available at a small area level. Applying this technique, household synthetic data at small area level are created, drawing together data from the Australian Census and Survey. Using disposable income increases the strength of the results, as a more accurate measure of income distribution is able to be obtained. Small area inequality estimation enables the policy maker to pinpoint pockets of inequality and to link these with other small area characteristics. Further, a case study of New South Wales, the most populous state in Australia is analyzed and the results show that there are marked differences in what appears to be associated with variation in inequality between urban area (Sydney) and rural areas highlighting the complexity of income inequality at a small area level.
    Original languageEnglish
    Title of host publicationThe 42nd Australian Conference of Economists Conference Proceedings Beyond the Frontiers: New Directions in Economics
    EditorsDavid Butler, Maria Mangano
    Place of PublicationAustralia
    PublisherMurdoch University
    Pages1-31
    Number of pages31
    ISBN (Print)9781921877124
    Publication statusPublished - 2013
    Event42nd Australian Conference of Economists - Murdoch University, Perth, Australia
    Duration: 7 Jul 201310 Jul 2013

    Conference

    Conference42nd Australian Conference of Economists
    CountryAustralia
    CityPerth
    Period7/07/1310/07/13

    Fingerprint

    income
    income distribution
    census
    rural area
    urban area
    measuring
    policy
    household

    Cite this

    Miranti, R., Cassells, R., Vidyattama, Y., & McNamara, J. (2013). Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study. In D. Butler, & M. Mangano (Eds.), The 42nd Australian Conference of Economists Conference Proceedings Beyond the Frontiers: New Directions in Economics (pp. 1-31). Australia: Murdoch University.
    Miranti, Riyana ; Cassells, Rebecca ; Vidyattama, Yogi ; McNamara, Justine. / Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study. The 42nd Australian Conference of Economists Conference Proceedings Beyond the Frontiers: New Directions in Economics. editor / David Butler ; Maria Mangano. Australia : Murdoch University, 2013. pp. 1-31
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    title = "Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study",
    abstract = "In this paper, we have used spatial microsimulation techniques to calculate small area inequality in Australia using disposable income data which are not available at a small area level. Applying this technique, household synthetic data at small area level are created, drawing together data from the Australian Census and Survey. Using disposable income increases the strength of the results, as a more accurate measure of income distribution is able to be obtained. Small area inequality estimation enables the policy maker to pinpoint pockets of inequality and to link these with other small area characteristics. Further, a case study of New South Wales, the most populous state in Australia is analyzed and the results show that there are marked differences in what appears to be associated with variation in inequality between urban area (Sydney) and rural areas highlighting the complexity of income inequality at a small area level.",
    author = "Riyana Miranti and Rebecca Cassells and Yogi Vidyattama and Justine McNamara",
    year = "2013",
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    Miranti, R, Cassells, R, Vidyattama, Y & McNamara, J 2013, Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study. in D Butler & M Mangano (eds), The 42nd Australian Conference of Economists Conference Proceedings Beyond the Frontiers: New Directions in Economics. Murdoch University, Australia, pp. 1-31, 42nd Australian Conference of Economists, Perth, Australia, 7/07/13.

    Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study. / Miranti, Riyana; Cassells, Rebecca; Vidyattama, Yogi; McNamara, Justine.

    The 42nd Australian Conference of Economists Conference Proceedings Beyond the Frontiers: New Directions in Economics. ed. / David Butler; Maria Mangano. Australia : Murdoch University, 2013. p. 1-31.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AU - Vidyattama, Yogi

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    N2 - In this paper, we have used spatial microsimulation techniques to calculate small area inequality in Australia using disposable income data which are not available at a small area level. Applying this technique, household synthetic data at small area level are created, drawing together data from the Australian Census and Survey. Using disposable income increases the strength of the results, as a more accurate measure of income distribution is able to be obtained. Small area inequality estimation enables the policy maker to pinpoint pockets of inequality and to link these with other small area characteristics. Further, a case study of New South Wales, the most populous state in Australia is analyzed and the results show that there are marked differences in what appears to be associated with variation in inequality between urban area (Sydney) and rural areas highlighting the complexity of income inequality at a small area level.

    AB - In this paper, we have used spatial microsimulation techniques to calculate small area inequality in Australia using disposable income data which are not available at a small area level. Applying this technique, household synthetic data at small area level are created, drawing together data from the Australian Census and Survey. Using disposable income increases the strength of the results, as a more accurate measure of income distribution is able to be obtained. Small area inequality estimation enables the policy maker to pinpoint pockets of inequality and to link these with other small area characteristics. Further, a case study of New South Wales, the most populous state in Australia is analyzed and the results show that there are marked differences in what appears to be associated with variation in inequality between urban area (Sydney) and rural areas highlighting the complexity of income inequality at a small area level.

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    Miranti R, Cassells R, Vidyattama Y, McNamara J. Measuring Inequality for Small Areas Using Spatial Microsimulation: An Australian Case Study. In Butler D, Mangano M, editors, The 42nd Australian Conference of Economists Conference Proceedings Beyond the Frontiers: New Directions in Economics. Australia: Murdoch University. 2013. p. 1-31