Using Private Information to Predict Homelessness Entries: Evidence and Prospects

Brendan O’Flaherty, Rosanna Scutella and Yi-Ping Tseng

Housing Policy Debate, 2018, vol. 28, issue 3, 368-392

Abstract: Do people at risk of homelessness have private information—information that social service agencies cannot credibly obtain—that helps predict whether they will become homeless? This article asserts that the answer to this question is yes: homeless people and people at risk of homelessness know important things about their future. Data from Journeys Home (JH), a pathbreaking longitudinal study of people experiencing homelessness and people at risk of homelessness in Australia, are used in this article. In many cases, the private information that participants have predicts entries better than the public information that agencies can obtain. Ways in which this private information can be used to improve service delivery are suggested.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/10511482.2017.1367318 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:houspd:v:28:y:2018:i:3:p:368-392

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RHPD20

DOI: 10.1080/10511482.2017.1367318

Access Statistics for this article

Housing Policy Debate is currently edited by Tom Sanchez, Susanne Viscarra and Derek Hyra

More articles in Housing Policy Debate from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().