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The Survey of Income and Housing

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  • Matthew Taylor

Abstract

This data survey presents an introduction to the Survey of Income and Housing (SIH), a cross†sectional household survey of individuals living in Australian private dwellings starting in 1969. This article provides an overview of the SIH and a description of the content of the most recent edition collected over the course of the 2015–16 financial year. The overview compares and contrasts the SIH to its longitudinal cousin the Household, Income and Labour Dynamics in Australia (HILDA) survey, outlining strengths and limits of both data sources depending on the type of research question.

Suggested Citation

  • Matthew Taylor, 2018. "The Survey of Income and Housing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(2), pages 276-285, June.
  • Handle: RePEc:bla:ausecr:v:51:y:2018:i:2:p:276-285
    DOI: 10.1111/1467-8462.12265
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    References listed on IDEAS

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    1. Markus H. Hahn & John P. Haisken-DeNew, 2013. "PanelWhiz and the Australian Longitudinal Data Infrastructure in Economics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 46(3), pages 379-386, September.
    2. Talei Parker, 2017. "The DataLab of the Australian Bureau of Statistics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 478-483, December.
    3. Sue Lambert, 1996. "Income Distribution Surveys," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 29(3), pages 320-326, July.
    4. Nicole Watson & Mark Wooden, 2004. "Sample Attrition in the HILDA Survey," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(2), pages 293-308, June.
    5. Peter Siminski & Peter Saunders & Bruce Bradbury, 2003. "Reviewing the Intertemporal Consistency of ABS Household Income Data through Comparisons with External Aggregates," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 36(3), pages 333-349, September.
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