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Using Integrated Administrative Data to Identify Youth Who are at Risk of Poor Outcomes as Adults

Author

Listed:
  • Keith McLeod
  • Chris Ball
  • Sarah Tumen
  • Sarah Crichton

    (The Treasury)

Abstract

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 longterm 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. The analytical paper is being released alongside an A3 document which summarises the results of the analysis, and a set of detailed excel tables. See links below.

Suggested Citation

  • Keith McLeod & Chris Ball & Sarah Tumen & Sarah Crichton, 2015. "Using Integrated Administrative Data to Identify Youth Who are at Risk of Poor Outcomes as Adults," Treasury Analytical Papers Series ap15/02, New Zealand Treasury.
    • Handle: RePEc:nzt:nztaps:ap15/02
    as

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    File URL: https://www.treasury.govt.nz/sites/default/files/2015-11/ap15-02.pdf
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    File URL: https://www.treasury.govt.nz/sites/default/files/2015-11/ap15-02-target-pop.pdf
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    More about this item

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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