In times of economic austerity, criminal justice agencies are required to make evidence-based
decisions that yield optimal return. The aim of this inter-disciplinary special issue
is to showcase economic analysis taking place in policing and criminal justice contexts,
using both established and innovative techniques. It is hoped that this will contribute
a robust evidence base alongside demonstrating innovation in economic methodologies
that could be beneficial to other researchers. Four quality publications were received,
demonstrating innovative economic practices in estimating treatment effects or directing
resources to high-risk individuals.
Understanding the effectiveness and cost effectiveness of a perpetrator intervention
programme
Domestic violence is a pervasive phenomenon for which a number of within and across
generational negative impacts are assessed. Yet the evidence base around what works
is still patchy and economic analysis of interventions is particularly limited. Karavias
et al. consider the impact of a so-called “batterer intervention programme” (BIP)
called CARA (Cautioning and Relationship Abuse) and find a strong reduction in reoffending
among those who attended the programme across two police force areas with very different
socio-economic and demographic characteristics. Their impact evaluation naturally
leads to an economic evaluation quantifying the benefit achieved in monetary terms.
It indicates the monetised benefit of the intervention ranges from £2.75–11.1 per
pound spent. This strongly suggests that CARA will deliver benefits by reducing reoffending
and be economically efficient if rolled out across more police forces. The use of
machine learning methods to identify the most important variables that determine treatment
selection and being able to use boundedness tests to show that unobservable factors
would need to have a dramatic impact to invalidate the results provide robustness
to the analysis.
Incorporating impact heterogeneity into cost-benefit analysis
Traditional cost-benefit analyses (CBA) rely on average treatment effects and do not
consider contextual factors that moderate outcomes for community sub-groups. Existing
gains, as a result, may disproportionately target and benefit certain subgroups. This
is problematic for criminal justice interventions where poverty and access to justice
may influence outcomes. Manning and colleagues consider how justice processes treat
different groups and whether CBA can be enhanced by the inclusion of such heterogeneity
Manning et al. (
a, b). Drawing upon similar past research, an economic framework is suggested including
quantile treatment effects and a range of moderators (e.g., ethnicity, gender, latent
constructs, exclusion, and governance). The enhanced CBA APP is demonstrated using
existing data from a school-based intervention in Australia. Future developments,
including machine learning, are then considered. The current research offers considerable
methodological innovation. By moving away from average treatment effects and overall
societal benefit, the enhanced CBA APP potentially improves the accuracy of resource
allocation so that finite resources are directed more equitably. It can help achieve
maximum economic and social outcomes whilst targeting unequal treatment and outcomes
for vulnerable and excluded social groups.
Offense prioritization in high-volume, high-harm crimes
Giles et al. discuss the pervasive risk or harm posed by online child sexual abuse,
which strains law enforcement's ability to respond effectively. Whilst prioritization
methods exist for individuals with experience of offline offenses, there is a lack
of focus on online-only offenses (OOCSA), partly due to ambiguity regarding victim
harm and online offending's contribution to it. Giles et al. produce a narrative review
to address this gap, identifying five themes from existing literature: problems defining
OOCSA, normalizing online harm, OOCSA grooming processes, comparisons with offline
abuse, and the mechanisms between OOCSA and harm. They suggest factors like shame,
reach of abuse, image permanence, victim vulnerability, and social support could guide
prioritization strategies. Drawing upon original police data, crime reports and surveys
they estimate the economic burden of OOCSA in England and Wales. Adapting UK Home
Office figures to OOCSA they establish lifetime costs (£7.4 million based on police
reports), scaling up to consider undetected crimes (£59.6 million) and national prevalence
(£1.4 billion from self-report surveys). This research highlights the potential for
economic models in understanding and addressing novel areas like OOCSA, providing
insights for future researchers and law enforcement to develop evidence-led tools
and strategies.
An economic evaluation of restorative justice post sentence in England and Wales
Participation in restorative justice interventions post-sentence has been shown to
reduce reoffending and mitigate harm to victims. Investment in, and access to, restorative
justice remains limited in England and Wales. Focusing on direct and indirect restorative
justice interventions for victims and offenders post-sentence in England and Wales,
Jones et al. developed a model to estimate the social benefit–cost ratio of restorative
justice, as well as the direct financial return to the criminal justice system. Their
estimates suggest that increasing the proportion of eligible cases referred for a
restorative justice intervention from 15 to 40% could be associated with an increase
in investment of £5 m, and benefits to the criminal justice system totaling £22 m,
implying a net saving of £17 m. The economic case for investment in restorative justice
centers on identifying offenders with a high risk of offending and enabling them to
participate in an intervention that has been repeatedly demonstrated to help them
to change their behavior. The study can help advance policymakers' understanding of
the value of restorative justice as well as how to harness this value to benefit victims,
offenders and society.
Summary contributions
Each paper has contributed new knowledge that will enhance the rigor and external
validity of economic models. The fact that we received only four papers for this special
issue, despite having an extended timeline, is a testament to the time it takes to
produce high-quality economic evaluations. Its relative scarcity is sometimes further
compromised by data issues and a reluctance to venture into an area that is not set
up to appropriately measure the economic costs and benefits. The papers however demonstrate
that with advances in methodology, if appropriate data were routinely collected, robust
economic analysis can be undertaken providing robust evidence on the effective use
of scarce resources. We hope that readers can derive benefits from the innovations
presented here.
Author contributions
SG: Writing – original draft, Writing – review & editing. SB: Writing – original draft,
Writing – review & editing. KS: Writing – original draft, Writing – review & editing.
MM: Writing – original draft, Writing – review & editing.