2018
DOI: 10.1093/qje/qjy012
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Racial Bias in Bail Decisions*

Abstract: Silver, Alex Torgovitsky, and numerous seminar participants for helpful comments and suggestions. Molly Bunke, Kevin DeLuca, and Amy Wickett provided excellent research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER… Show more

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Cited by 260 publications
(102 citation statements)
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References 62 publications
(87 reference statements)
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“…Recent increased interest in the effects of incarceration on children has undoubtedly been influenced by studies indicating rapid growth in the use of incarceration within the United States, the large size of the prison population, and disproportionate effects on poor and minority individuals and families (Wildeman, 2009). The PI literature thus fits well in many respects with other basic criminological studies that have produced results revealing biases in sentencing decisions (Kutateladze, Andiloro, Johnson, & Spohn, 2014), inequitable practices associated with bail and other pretrial decisions (Arnold, Dobbie, & Yang, 2018), and deleterious consequences of system involvement, particularly for minority individuals (Pager, 2003). Yet even the findings from studies that have focused primarily on justice system disparities (e.g., by race/ethnicity and gender) indicate that prior offenses and current offense seriousness are robust predictors of the odds of incarceration and of sentence length (Steffensmeier, Ulmer, & Kramer, 1998).…”
Section: Prior Research Linking Crime and Incarcerationsupporting
confidence: 70%
“…Recent increased interest in the effects of incarceration on children has undoubtedly been influenced by studies indicating rapid growth in the use of incarceration within the United States, the large size of the prison population, and disproportionate effects on poor and minority individuals and families (Wildeman, 2009). The PI literature thus fits well in many respects with other basic criminological studies that have produced results revealing biases in sentencing decisions (Kutateladze, Andiloro, Johnson, & Spohn, 2014), inequitable practices associated with bail and other pretrial decisions (Arnold, Dobbie, & Yang, 2018), and deleterious consequences of system involvement, particularly for minority individuals (Pager, 2003). Yet even the findings from studies that have focused primarily on justice system disparities (e.g., by race/ethnicity and gender) indicate that prior offenses and current offense seriousness are robust predictors of the odds of incarceration and of sentence length (Steffensmeier, Ulmer, & Kramer, 1998).…”
Section: Prior Research Linking Crime and Incarcerationsupporting
confidence: 70%
“…This research tends to show that controlling for variables such as occupation, education, and experience yield smaller estimates of wage gaps than simple raw comparisons, although race and gender differences on these covariates could themselves result from various forms and sources of discrimination. 5 Much of the economic research on discrimination attempts to disentangle racial animus from statistical discrimination (e.g., Anwar & Fang, 2015;Arnold, Dobbie, & Yang, 2018;Fang & Moro, 2010). Each could exist in student discipline.…”
Section: Discussionmentioning
confidence: 99%
“…In a policy simulation, they suggest that jail rate reductions of 41% can be achieved with no increase in crime rates. Another study by Arnold, Dobbie, and Yang (2017) finds that judges are engaging in racially biased prediction errors resulting largely from inexperienced, part-time judges.…”
Section: Discussionmentioning
confidence: 99%