RMIT University
Browse

Housing older Australians: Loss of homeownership and pathways into housing assistance

journal contribution
posted on 2024-11-01, 17:58 authored by Rachel Ong, Gavin WoodGavin Wood, Val Colic-Peisker
In Australia and other 'homeownership societies' it has been conventional to think of housing pathways in terms of a smooth linear progression, leading to outright ownership in middle age and a retirement buffered by low housing costs. This vision of the welfare role of homeownership is an important buttress of Australian retirement incomes policy. However, this vision has been challenged in recent years as growing numbers of older Australians lose home ownership and consequently transition onto housing assistance programmes. Using Household, Income and Labour Dynamics in Australia (HILDA) survey data we analyse pathways into housing assistance. A transition model is estimated that specifies older Australians' pathway to housing assistance status as a function of key socioeconomic and demographic determinants such as wealth and debt, health, marital status, tenure and employment history programmes. We find that those losing home ownership have a higher chance of becoming users of housing assistance programmes than similarly positioned longer-term renters, a result that is particularly evident among ex-owners that are exposed to adverse biographical events. The theoretical implications of our findings for the scholarship on housing pathways are discussed.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1177/0042098014550955
  2. 2.
    ISSN - Is published in 00420980

Journal

Urban Studies

Volume

52

Issue

16

Start page

2979

End page

3000

Total pages

22

Publisher

Sage

Place published

United Kingdom

Language

English

Copyright

© Urban Studies Journal Limited 2014

Former Identifier

2006050832

Esploro creation date

2020-06-22

Fedora creation date

2015-04-20

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC