Race and Ethnicity (Mis)measurement in the U.S. Criminal Justice System

Keith Finlay, Elizabeth Luh and Michael G. Mueller-Smith

No 32657, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: The United States criminal justice system is characterized by substantial disparities in outcomes across racial and ethnic groups. Understanding these disparities requires accurate measures of race and ethnicity of people involved in the justice system. We document how race and ethnicity are recorded by administrative agents and how operational concerns limit corrections to misreported race and ethnicity. To understand the impacts of these administrative processes, this paper uses novel linkages between person-level microdata from the Criminal Justice Administrative Records System (CJARS) and race and ethnicity composites from U.S. Census Bureau census and administrative records, mostly composed of self-reported or family-reported race/ethnicity, to quantify mismeasurement of race and ethnicity in the justice system. We find that 17 percent of misdemeanor and felony defendants and 10 percent of prison inmates have an agency-recorded label that does not concord with the composite measure, largely driven by justice agencies poorly measuring people identified in Census Bureau data as Hispanic, Asian, Pacific Islander, or American Indian and Alaska Native (AIAN). Using estimated correspondences between agency-recorded and the composite race and ethnicity, we reweight federal series on imprisonment rates and show that those series, which currently rely on small survey samples to impute racial and ethnic population shares, have substantially underestimated the incarceration rates of Whites, Blacks, and AIANs.

JEL-codes: J15 K42 (search for similar items in EconPapers)
Date: 2024-07
New Economics Papers: this item is included in nep-inv, nep-law and nep-ure
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Forthcoming: Race and Ethnicity (Mis)Measurement in the US Criminal Justice System, Keith Finlay, Elizabeth Luh, Michael Mueller-Smith. in Race, Ethnicity, and Economic Statistics for the 21st Century , Akee, Katz, and Loewenstein. 2024

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