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A Longitudinal Analysis of Violence and Housing Insecurity


  • Timothy M. Diette

    (Department of Economics, Washington and Lee University)

  • David C. Ribar

    () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne; ARC Centre of Excellence for Children and Families over the Life Course; and Institute for the Study of Labor (IZA))


Violence and housing insecurity are horrible events that may be intertwined, with violence possibly forcing victims to abandon their accommodations and housing insecurity depriving people of the safety of a home or placing them in compromised ircumstances. This study uses national, prospective, longitudinal data from the Journeys Home Survey to examine how violence, housing insecurity, and other characteristics in one period affect disadvantaged Australian men’s and women’s chances of experiencing violence and housing insecurity in subsequent periods. The study is one of the first to investigate these relationships prospectively and unusual in considering how violence among adult men contributes to their housing insecurity. We estimate dynamic ultivariate models that control for observed and time-invariant unobserved characteristics and find that men’s chances of being housing secure without experiencing violence are 24-45 percent lower and women’s chances are 12-20 percent lower if they experienced housing insecurity, violence or both in the previous period. Heavy drinking, marijuana use, psychological distress, and a history of childhood abuse and neglect also increase the risks of violence and housing insecurity for both genders, while the presence of children reduces these risks. Women who are bisexual or lesbian and women with homeless friends also face elevated risks of housing insecurity, while men’s sexual orientation and friend networks seem less relevant. Classification-J1, R2

Suggested Citation

  • Timothy M. Diette & David C. Ribar, 2015. "A Longitudinal Analysis of Violence and Housing Insecurity," Melbourne Institute Working Paper Series wp2015n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2015n20

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    References listed on IDEAS

    1. Early, Dirk W., 2005. "An empirical investigation of the determinants of street homelessness," Journal of Housing Economics, Elsevier, vol. 14(1), pages 27-47, March.
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    3. John Quigley & Steven Raphael, 2001. "The Economics Of Homelessness: The Evidence From North America," International Journal of Housing Policy, Taylor & Francis Journals, vol. 1(3), pages 323-336.
    4. Sonia M. Frias & Ronald J. Angel, 2007. "Stability and Change in the Experience of Partner Violence Among Low-Income Women," Social Science Quarterly, Southwestern Social Science Association, vol. 88(5), pages 1281-1306.
    5. Mark Wooden & Andrew Bevitt & Abraham Chigavazira & Nancy Greer & Guy Johnson & Eoin Killackey & Julie Moschion & Rosanna Scutella & Yi-Ping Tseng & Nicole Watson, 2012. "Introducing ‘Journeys Home’," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 45(3), pages 368-378, September.
    6. Cobb-Clark, Deborah A. & Herault, Nicolas & Scutella, Rosanna & Tseng, Yi-Ping, 2016. "A journey home: What drives how long people are homeless?," Journal of Urban Economics, Elsevier, vol. 91(C), pages 57-72.
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    11. McVicar, Duncan & Moschion, Julie & van Ours, Jan C., 2015. "From substance use to homelessness or vice versa?," Social Science & Medicine, Elsevier, vol. 136, pages 89-98.
    12. Allgood, Sam & Warren, Ronald Jr., 2003. "The duration of homelessness: evidence from a national survey," Journal of Housing Economics, Elsevier, vol. 12(4), pages 273-290, December.
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    Cited by:

    1. Herault, Nicolas & Ribar, David C., 2017. "Food insecurity and homelessness in the Journeys Home survey," Journal of Housing Economics, Elsevier, vol. 37(C), pages 52-66.

    More about this item


    Housing insecurity; homelessness; violence; Journeys Home Survey;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis


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