REASSESSING RACE DISPARITIES IN MARYLAND CAPITAL CASES

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All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously (2018, methodology): “Data Analysis: Reliance of Criminal Recidivism Prediction Models on Race and Sex Evidence suggests that bias exists among judges and prosecutors in the criminal justice system (Spohn, 2000; Blair et al., 2004; Paternoster and Brame, 2008).”
Reassessing and Redirecting Research on Race and Sentencing (2013, background): “This point echoes Paternoster and Brame (2008), who make a particularly compelling argument that what continues to be the dominant approach to estimating race differences in most noncapital sentencing studies——standard multivariate regression modeling——is inferior to other approaches, and their…”
Recent Developments and New Directions in Sentencing Research (2012, methodology): “” Paternoster and Brame (2008) recently applied this method to assess offender race/victim”
All Models are Wrong but many are Useful: Variable Importance for Black-Box, Proprietary, or Misspecified Prediction Models, using Model Class Reliance (2018, background): “Evidence suggests that bias exists among judges and prosecutors in the criminal justice system (Spohn, 2000; Blair et al., 2004; Paternoster and Brame, 2008).”