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What are the impacts of living in social housing?

Author

Listed:
  • David Prentice

    (Infrastructure Victoria)

  • Rosanna Scutella

    (RMIT)

Abstract

In this paper we take the first steps to providing parameters for use in the cost benefit analysis of investments in social housing by estimating its effects on outcomes for individual residents. This is done by applying statistical matching methods to the Journeys Home dataset to provide new estimates of the impacts of social housing on employment, education, health, incarceration and homelessness. We find placing an individual, vulnerable to becoming homeless, in social housing means they are less likely, compared with other similar individuals not in social housing, to become homeless. Hence, social housing is providing an important `safety net’ for people vulnerable to homelessness. We also find that in the short run individuals in social housing have similar outcomes in terms of employment, education, physical and mental health, and incarceration to similarly disadvantaged individuals not in social housing. These results are potentially due to strict targeting of individuals into relatively limited available spots in social housing and the averaging across cohort specific effects. The long run impacts, for some cohorts, may differ but analysing this requires longer datasets.

Suggested Citation

  • David Prentice & Rosanna Scutella, 2018. "What are the impacts of living in social housing?," Technical papers 201801, Infrastructure Victoria.
    • Handle: RePEc:inv:tpaper:201801
    as

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    File URL: http://repec.infrastructurevictoria.com.au/RePEc/inv/tpaper/IVT201801.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. Stefan G. Kertesz & Guy Johnson, 2017. "Housing First: Lessons from the United States and Challenges for Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(2), pages 220-228, June.
    3. Simon Feeny & Rachel Ong & Heath Spong & Gavin Wood, 2012. "The Impact of Housing Assistance on the Employment Outcomes of Labour Market Programme Participants in Australia," Urban Studies, Urban Studies Journal Limited, vol. 49(4), pages 821-844, March.
    4. Gilles Duranton & J. V. Henderson & William C. Strange (ed.), 2015. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 5, number 5.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

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