Spatial analysis of housing stress estimation in Australia with statistical validation

  • Azizur Rahman
  • , Ann HARDING

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A large number of Australian households are experiencing housing stress. Decision makers at the national and regional levels need reliable small area statistics on housing stress, to most efficiently and fairly target assistance and policy design. This paper studies small area housing stress estimation in Australia and examines various distributive scenarios of the estimates through spatial analysis of a synthetically microsimulated data. Results reveal that one in every nine households in Australia is experiencing housing stress, with private renter households being most greatly affected. About two-thirds of Australian households with housing stress reside in the eight major capital cities, principally in Sydney and Melbourne. The statistical local area level estimates of housing stress are much lower in Canberra, compared to the other major cities. Scenarios of the spatial analysis identify small area level hotspots for housing stress across Australia. A new approach for validating the results of microsimulated data produced by the microsimulation modelling technology reveals statistically accurate housing stress estimation for about 94.3 percent of small areas.
    Original languageEnglish
    Pages (from-to)452-486
    Number of pages35
    JournalAustralasian Journal of Regional Studies
    Volume20
    Issue number3
    Publication statusPublished - 2014

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

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