Using a Predictive Risk Model to Identify Youth at Risk for Homelessness (Lessons from the Field)

Courtney Noble

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: The Children’s Bureau, within the Administration for Children and Families (U. S. Department of Health and Human Services) is funding a multi-phase grant program to build the evidence base on what works to prevent homelessness among youth and young adults who have been involved in the child welfare system.

Keywords: child welfare; homelessness; foster care; youth aging; out of care; planning; process study; youth at risk of homelessness (YARH); lessons learned; risk factors; protective factors; predictive risk model (search for similar items in EconPapers)
Pages: 2
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... ctive-risk-model.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (https://www.mathematica.org/-/media/publications/pdfs/family_support/2017/yarh-lessons-using-a-predictive-risk-model.pdf [302 Found]--> https://www.mathematica.org/System/404-page-not-found?ItemNotFound=true)

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:mpr:mprres:8902088ac4ae4c27bd9dd5f4d63dbfc3

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).