EconPapers    
Economics at your fingertips  
 

Maximising existing assets: the potential of Bayesian hierarchical approaches to improve the risk assessment process in youth justice

Helen Ruth Hodges

Children and Youth Services Review, 2025, vol. 177, issue C

Abstract: Bayesian approaches provide a fresh lens to consider the interaction between various characteristics and circumstances of children who have offended, and their likelihood of committing further offences over time. This has been done here by revisiting data captured as part of the risk assessment process used until the mid-2010s across England and Wales to consider how the probability of further offending behaviour differs depending upon whether the child has a prior history of offending or not.

Keywords: Bayesian hierarchical modelling; Youth justice; Risk assessment; Data linkage (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0190740925003858
Full text for ScienceDirect subscribers only

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:eee:cysrev:v:177:y:2025:i:c:s0190740925003858

DOI: 10.1016/j.childyouth.2025.108502

Access Statistics for this article

Children and Youth Services Review is currently edited by Duncan Lindsey

More articles in Children and Youth Services Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-08-29
Handle: RePEc:eee:cysrev:v:177:y:2025:i:c:s0190740925003858