Medium-Term Criminal Justice Impact Fade-Out

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In Simple Words

Think of placing a temporary speed bump on a residential street during the summer; while drivers slow down while passing over it, once the speed bump is removed, vehicle speeds gradually return to their previous baseline over the following years unless permanent road changes are constructed.

NYC applicants without a prior arrest

Without SYEP
Comparison condition
With SYEP
No clear change in arrests

Cumulative arrests over five years, excluding the program summer. Lottery-based participation estimate; uncertainty does not mean exactly zero.

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Research question

Short-term youth employment interventions frequently achieve immediate behavioral reductions, but evaluating whether these gains persist as long-term structural changes over subsequent years remains a key challenge for social policy.

Participants

N = 163,447 youth (5,092 at-risk youth with prior arrests, 158,355 low-risk youth aged 16+), New York City.

Study Design

Longitudinal Two-Stage Least Squares (2SLS) instrumental variable tracking across 1-year, 3-year, and 5-year post-program windows (excluding summer treatment months).

Results

Post-program arrest and conviction effects up to five years show no statistically significant impacts for either group. Among at-risk youth, felony arrest reductions show a persistent directional decrease of roughly 10% (-2.60 percentage points at 1 year, -4.51 at 3 years [p < 0.10], -2.81 at 5 years), while low-risk youth yield precisely estimated zeroes (+0.175 percentage points at 5 years, p > 0.10).

Takeaway

1. Supplement short-term summer jobs programs with multi-year continuous supportive programming to sustain long-term crime reduction outcomes.

Source and citation

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Read alongside the research

Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Longitudinal study

A study that checks the same group of people at different times. This lets researchers examine how things change over time.

ExampleResearchers ask the same workers about their wellbeing at the start, after three months and after six months.

NICE · Longitudinal study ↗Read more about longitudinal study →
Percentage points

The difference between two percentages.

ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.

Office for National Statistics · Percentages ↗Read more about percentage points →
Statistically significant

A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.

ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.

American Statistical Association · Statement on p-values ↗Read more about statistically significant →

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