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Understanding and Improving Data Quality Relating to Low-Income Households

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  • David Johnson

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Rosanna Scutella

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

Concerns have been expressed about the reliability of income and expenditure data from Australian Bureau of Statistics surveys for those on low incomes. This paper analyses the factors behind the apparently low incomes recorded by many Australian households, in particular, in major ABS data collections, and the implications of these for income distribution and 'poverty' analysis. The paper seeks to identify the extent to which these arise from the concepts of income used in these surveys, which may result in the data being inappropriate for other analysis; and the degree to which it can be ascribed to inadequate reporting of incomes. The paper draws some conclusions about how the existence of such problems should be treated in income distribution and related poverty analysis, and whether any specific actions should be taken by analysts to derive data appropriate for the purposes of their analysis. It also considers some methodologies that can be adopted to reduce the impact of any identified problems in future data collections.

Suggested Citation

  • David Johnson & Rosanna Scutella, 2003. "Understanding and Improving Data Quality Relating to Low-Income Households," Melbourne Institute Working Paper Series wp2003n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    • Handle: RePEc:iae:iaewps:wp2003n18
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    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2003n18.pdf
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    References listed on IDEAS

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    1. John Creedy & Alan S. Duncan & Mark Harris & Rosanna Scutella, 2002. "Microsimulation Modelling of Taxation and the Labour Market," Books, Edward Elgar Publishing, number 2796.
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    Cited by:

    1. Yogi Vidyattama & Riyana Miranti & Justine McNamara & Robert Tanton & Ann Harding, 2013. "The Challenges of Combining Two Databases in Small-Area Estimation: An Example Using Spatial Microsimulation of Child Poverty," Environment and Planning A, , vol. 45(2), pages 344-361, February.
    2. Robert Tanton & Yogi Vidyattama & Justine McNamara & Quoc Ngu Vu & Ann Harding, 2009. "Old, Single and Poor: Using Microsimulation and Microdata to Analyse Poverty and the Impact of Policy Change among Older Australians," Economic Papers, The Economic Society of Australia, vol. 28(2), pages 102-120, June.

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