Ethnic Disparities in Sentencing: Warranted or Unwarranted?

Jose Pina-Sánchez, Sara Geneletti, Ana Veiga, Ana Morales and Eoin Guilfoyle
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Jose Pina-Sánchez: University of Leeds

No k8bsg, SocArXiv from Center for Open Science

Abstract: Large research efforts have been directed at the exploration of ethnic disparities in the criminal justice system, documenting harsher treatment of minority ethnic defendants, across offence types, criminal justice decisions, and jurisdictions. However, most studies on the topic have relied on observational data, which can only approximate ‘like with like’ comparisons. As a result, researchers, practitioners and policy-makers have often been wary of interpreting such disparities as evidence of discrimination. We use causal diagrams to lay out explicitly the different ways estimates of ethnic discrimination derived from observational data could be biased. Beyond the commonly acknowledged problem of unobserved case characteristics, we also discuss other less well-known, yet likely more consequential problems: measurement error in the form of racially-determined case characteristics or as a result of high heterogeneity within the ‘Whites’ reference group, and selection bias from non-response and missing offender’s ethnicity data. We apply such causal framework to review findings from two recent studies showing ethnic disparities in custodial sentences imposed at the Crown Court (England and Wales), questioning whether the reported disparities should be interpreted as evidence of discrimination. We also use simulations to recreate the most comprehensive of those studies, and demonstrate how the reported ethnic disparities appear robust to a problem of unobserved case characteristics. We conclude that ethnic disparities observed in the Crown Court are likely reflecting evidence of direct discrimination in sentencing.

Date: 2022-09-30
New Economics Papers: this item is included in nep-law and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:k8bsg

DOI: 10.31219/osf.io/k8bsg

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