Using integrated data to examine the effects of summer youth employment program completion on educational and criminal justice system outcomes: Evidence from Cuyahoga County, Ohio

The current study builds the evidence base on the effects of Summer Youth Employment Programs (SYEP) both geographically and methodologically by linking SYEP participant records to a comprehensive integrated longitudinal database to better understand programmatic impacts on youth who completed parti...

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Bibliographic Details
Published in:Evaluation and program planning 2023-08, Vol.99, p.102284, Article 102284
Main Authors: Atwell, Meghan Salas, Jeon, Jeesoo, Cho, Youngmin, Coulton, Claudia, Lewis, Eric, Sorensen, Alena
Format: Article
Language:English
Subjects:
Human capital
Job mobility
Public policy
Skills
Youth
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Summary:The current study builds the evidence base on the effects of Summer Youth Employment Programs (SYEP) both geographically and methodologically by linking SYEP participant records to a comprehensive integrated longitudinal database to better understand programmatic impacts on youth who completed participation in an SYEP in Cleveland, Ohio. The study matches SYEP participants and unselected applicants on various observed covariates using the Child Household Integrated Longitudinal Data (CHILD) System and relies upon propensity score matching techniques to estimate program completion impacts on educational and criminal justice system involvement outcomes. SYEP completion is associated with a lower prevalence of juvenile offense filings and incarceration events, better school attendance, and improved graduation rates 1–2 years following program participation. •Outcomes evaluated using SYEP applicant records matched to a integrated longitudinal data system.•The treatment group had better educational outcomes and less criminal justice system involvement than the comparison group.•Findings expand the research evidence base to a program and geography previously unstudied.•Insights provided for using baseline comparability checks to assess the randomness of SYEP lottery selections.
ISSN:0149-7189
DOI:10.1016/j.evalprogplan.2023.102284