Helping States Use Linked Administrative Data and Advanced Analytics to Better Serve Children and Families
Elizabeth Weingensberg
Mathematica Policy Research Reports from Mathematica Policy Research
Abstract:
A study by Casey Family Programs and Mathematica demonstrated the potential of linked administrative data and advanced analytics to uncover insights about child welfare and health care services to identify actionable strategies to improve the lives of families in the child welfare system.
Keywords: data quality; child welfare; children; families; Casey Family Programs (search for similar items in EconPapers)
Pages: 2
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... elping-states-fs.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/earlychildhood/2018/childwelfare-helping-states-fs.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:a9448a28a5eb4cb2a2971fad8d193f78
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 ).