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Private information, exits from homelessness, and better ways to operate rehousing programs

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  • O'Flaherty, Brendan
  • Scutella, Rosanna
  • Tseng, Yi-Ping

Abstract

Do people experiencing homelessness have private information that helps predict when they will leave homelessness? Our answer is yes: homeless people know important things about their future. We use data from Journeys Home, a path-breaking longitudinal study of homeless people and people at risk of homelessness in Australia. We suggest ways that private information can be used to improve service delivery. In particular, we show why decentralized intake systems may be more effective than command-and-control systems, despite the popularity of the latter.

Suggested Citation

  • O'Flaherty, Brendan & Scutella, Rosanna & Tseng, Yi-Ping, 2018. "Private information, exits from homelessness, and better ways to operate rehousing programs," Journal of Housing Economics, Elsevier, vol. 41(C), pages 93-105.
    • Handle: RePEc:eee:jhouse:v:41:y:2018:i:c:p:93-105
    DOI: 10.1016/j.jhe.2018.05.006
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    References listed on IDEAS

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    1. O'Flaherty, Brendan, 2009. "When should homeless families get subsidized apartments? A theoretical inquiry," Journal of Housing Economics, Elsevier, vol. 18(2), pages 69-80, June.
    2. 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.
    3. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Ririn Purnamasari & Matthew Wai-Poi, 2016. "Self-Targeting: Evidence from a Field Experiment in Indonesia," Journal of Political Economy, University of Chicago Press, vol. 124(2), pages 371-427.
    4. Goodman, Sarena & Messeri, Peter & O’Flaherty, Brendan, 2014. "Reprint of “How effective homelessness prevention impacts the length of shelter spells”," Journal of Housing Economics, Elsevier, vol. 24(C), pages 101-108.
    5. Brendan O’Flaherty & Rosanna Scutella & Yi-Ping Tseng, 2018. "Using Private Information to Predict Homelessness Entries: Evidence and Prospects," Housing Policy Debate, Taylor & Francis Journals, vol. 28(3), pages 368-392, May.
    6. Shavell, Steven & Weiss, Laurence, 1979. "The Optimal Payment of Unemployment Insurance Benefits over Time," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1347-1362, December.
    7. Goodman, Sarena & Messeri, Peter & O’Flaherty, Brendan, 2014. "How effective homelessness prevention impacts the length of shelter spells," Journal of Housing Economics, Elsevier, vol. 23(C), pages 55-62.
    8. Shinn, M. & Weitzman, B.C. & Stojanovic, D. & Knickman, J.R. & Jiménez, L. & Duchon, L. & James, S. & Krantz, D.H., 1998. "Predictors of homelessness among families in New York City: From shelter request to housing stability," American Journal of Public Health, American Public Health Association, vol. 88(11), pages 1651-1657.
    9. Cragg, Michael & O'Flaherty, Brendan, 1999. "Do Homeless Shelter Conditions Determine Shelter Population? The Case of the Dinkins Deluge," Journal of Urban Economics, Elsevier, vol. 46(3), pages 377-415, November.
    10. O'Flaherty, Brendan & Wu, Ting, 2006. "Fewer subsidized exits and a recession: How New York City's family homeless shelter population became immense," Journal of Housing Economics, Elsevier, vol. 15(2), pages 99-125, June.
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    Cited by:

    1. Charles Ka Yui LEUNG, 2022. "Housing and Macroeconomics," ISER Discussion Paper 1197, Institute of Social and Economic Research, Osaka University.
    2. O'Flaherty, Brendan, 2019. "Homelessness research: A guide for economists (and friends)," Journal of Housing Economics, Elsevier, vol. 44(C), pages 1-25.

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