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A Journey Home: What Drives How Long People Are Homeless?

Author

Listed:
  • Deborah A. Cobb-Clark

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

  • Nicolas Herault

    () (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)

  • Yi-Ping Tseng

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

Abstract

This paper uses survival analysis to model exits over time from two alternative notions of homelessness. We are unique in being able to account for time-invariant, unobserved heterogeneity. We find that duration dependence has an inverted U-shape with exit rates initially increasing (indicating positive duration dependence) and then falling. Like previous researchers, we find results consistent with negative duration dependence in models which ignore unobserved heterogeneity. Exit rates out of homelessness fall with age and with the education level of mothers. Women are more likely than men to exit homelessness when it is broadly conceived, but appear to be less likely to exit when it is narrowly defined. Finally, higher paternal education and exemptions from welfare-related activity requirements due to either mental or physical health conditions are all associated with higher exit rates.

Suggested Citation

  • Deborah A. Cobb-Clark & Nicolas Herault & Rosanna Scutella & Yi-Ping Tseng, 2014. "A Journey Home: What Drives How Long People Are Homeless?," Melbourne Institute Working Paper Series wp2014n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2014n20
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    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2014n20.pdf
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    References listed on IDEAS

    as
    1. Nicoletti, Cheti & Rondinelli, Concetta, 2010. "The (mis)specification of discrete duration models with unobserved heterogeneity: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 159(1), pages 1-13, November.
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    7. 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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    Cited by:

    1. Deborah A. Cobb-Clark & Anna Zhu, 2017. "Childhood homelessness and adult employment: the role of education, incarceration, and welfare receipt," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(3), pages 893-924, July.
    2. 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.
    3. Timothy M. Diette & David C. Ribar, 2018. "A Longitudinal Analysis Of Violence And Housing Insecurity," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1602-1621, July.
    4. Guy Johnson & David C. Ribar & Anna Zhu, 2017. "Women's Homelessness: International Evidence on Causes, Consequences, Coping and Policies," Melbourne Institute Working Paper Series wp2017n07, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. repec:bla:ausecr:v:50:y:2017:i:2:p:214-219 is not listed on IDEAS

    More about this item

    Keywords

    Homelessness; housing insecurity; survival analysis; duration dependence;

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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