Faculty of Social Sciences
Inaugural Lecture Series 2024/25
Estimating Ethnic Disparities in Sentencing:
Methodological Challenges and a Path Forward
Jose Pina-Sánchez
The strongest expression of the coercive powers of the state
Clear material consequences
Equally important symbolic value
The Lammy Review (2017)
– 240% higher odds of custody for minority drug offenders
– side note: 2.4 odds ratio \(=\) 140% higher odds
Is this evidence of discrimination?
No definitive answer
– how to interpret the evidence seems a personal choice
– we have not done our job
A. There is discrimination but we fail to acknowledge it
– we perpetuate a terrible injustice
B. There is no discrimination but we claim there is
– we undermine trust in the criminal justice system
– alienate minority groups
– waste efforts by focusing on the wrong crisis
We might be inadvertedly controlling away judicial prejudice
– e.g. offender’s remorse and rehabilitation potential
White offenders are not a homogeneous group
Different patterns of missing data depending on who identifies offender’s ethnicity
‘Race studies’ show twice stronger disparities than other sentencing studies
Systematic cherry picking
– every study in E&W highlights the “240% higher odds”
– we only see disparities in 1 out of 9 offence groups
Sentencing Council (2021) conditioned on all factors listed in their guidelines
– still found significant disparities (40% higher odds)
Missing legal factors isn’t a sufficient condition for statistical bias
No missing legal factor is realistically strong enough to render those disparities non-significant
Disparities could be understimated
– the Council controlled for mitigating factors we suspect are ‘racially-constructed’
– did not differentiate between groups of whites
We do not find evidence of bias in missing data
We can provide a definitive answer
– there is sentencing discrimination in England & Wales
– not as widespread as commonly believed
We should redouble our efforts in tackling the problem
– reminders in guidelines, pre-sentence reports, legal aid
Every researcher should be able to identify research assumptions
– and assess how they could lead to bias
Empirical researchers should be able to estimate those biases
– and reflect them in the uncertainty of their findings
Slow research
– quality over quantity
Reconsider measures of prestige
– emphasis on citations lead to bias
– incentivise replications
Open research
– registered reports