Using private information to predict homelessness entries: evidence and prospects

O'Flaherty, B, Scutella, R and Tseng, Y 2018, 'Using private information to predict homelessness entries: evidence and prospects', Housing Policy Debate, vol. 28, no. 3, pp. 368-392.


Document type: Journal Article
Collection: Journal Articles

Title Using private information to predict homelessness entries: evidence and prospects
Author(s) O'Flaherty, B
Scutella, R
Tseng, Y
Year 2018
Journal name Housing Policy Debate
Volume number 28
Issue number 3
Start page 368
End page 392
Total pages 25
Publisher Routledge
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.
Subject Economics not elsewhere classified
Social Policy
Keyword(s) Homelessness
homelessness entries
homelessness prevention
private information
longitudinal studies
DOI - identifier 10.1080/10511482.2017.1367318
Copyright notice © 2017 Virginia Polytechnic Institute and State University
ISSN 2152-050X
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