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Using integrated administrative data to identify youth who are at risk of poor outcomes as adults prepared by Keith McLeod, Robert Templeton, Christopher Ball Sarah Tumen, Sarah Crichton and Sylvia Dixon for the Treasury.

By: McLeod, Keith.
Contributor(s): Templeton, Robert | Ball, Christopher | Tumen, Sarah | Crichton, Sarah | Dixon, Sylvia.
Material type: materialTypeLabelBookSeries: Analytical paper.Publisher: Wellington, New Zealand : New Zealand Treasury, 2015Description: electronic document (74 pages); PDF file: 972 KB.ISBN: 978-0-908337-33-0 (Online).Subject(s): New Zealand Treasury | New Zealand. Ministry of Social Development | ADVERSE CHILDHOOD EXPERIENCES | ADOLESCENTS | CHILD PROTECTION | CHILD WELFARE | CHILDREN | ECONOMIC ASPECTS | PREDICTIVE RISK MODELLING | SOCIAL SERVICES | YOUNG PEOPLE | DATA ANALYSIS | GOVERNMENT POLICY | NEW ZEALANDOnline resources: Click here to access online | Infographic Analytical paper, 2015, 15/02Summary: "This paper summarises findings from an analysis of integrated administrative data seeking to identify the characteristics of young people aged 15 to 24 who are most at risk of poor long- term outcomes. The research is part of a broader ‘social investment approach’ by government agencies seeking to target services more effectively towards those most at need and reflects the recognition that such an approach requires better evidence about who these at-risk groups are. The analysis identifies those characteristics in the administrative data that are most predictive of a range of future poor outcomes and how this changes over the course of a young person’s entry into adulthood and identifies groups of young people at particular risk at different ages. (Authors' abstract). Record #4910
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Analytical paper, 2015, 15/02

"This paper summarises findings from an analysis of integrated administrative data seeking to identify the characteristics of young people aged 15 to 24 who are most at risk of poor long-
term outcomes. The research is part of a broader ‘social investment approach’ by
government agencies seeking to target services more effectively towards those most at need and reflects the recognition that such an approach requires better evidence about who these
at-risk groups are. The analysis identifies those characteristics in the administrative data that are most predictive of a range of future poor outcomes and how this changes over the course of a young person’s entry into adulthood and identifies groups of young people at particular risk at different ages. (Authors' abstract). Record #4910