Racial disproportionality in state prison admissions: Can regional variation be explained by differential arrest rates?

Sorensen, Jon R.; Hope, Robert; Stemen, Don

doi:10.1016/s0047-2352(02)00200-3

Cited by 37 publications

(48 citation statements)

References 8 publications

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“…Incarcerated veterans were more likely to be of minority ethnicity and to have disadvantageous sociodemographic characteristics as compared to non-incarcerated veterans with less education, fewer sources of public support, and a lower likelihood of being married. These findings are comparable to the findings of past research into the risk factors for incarceration among individuals in the general U.S. population [1,2,5,7,[10][11][12]43]. There were two major findings of interest with regard to the relative risk for incarceration of veterans from different service periods.…”

Section: Discussionsupporting

confidence: 83%

Mental Health and Other Risk Factors for Jail Incarceration Among Male Veterans

Greenberg

Rosenheck

2009

Psychiatr Q

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Data derived from the 2002 Survey of Inmates in Local Jails and the 2000 National Survey of Veterans show that having mental health problems in addition to such sociodemographic characteristics as being a member of a minority group, not being married, having less education, and being younger are risk factors for incarceration among veterans, as they are for the general population. As in previous studies veterans who served during the Vietnam Era and to an even greater extent, those who served in the early years of the All Volunteer Force were at greater risk of incarceration than veterans from the most recent period of the AVF, after controlling for age and other factors.

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Section: Discussionsupporting

confidence: 83%

Mental Health and Other Risk Factors for Jail Incarceration Among Male Veterans

Greenberg

Rosenheck

2009

Psychiatr Q

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“…Others also contended that the results were very different for individual states. 13 Although these aggregate-level analyses found that the majority of the disparity in incarceration rates among drug offenders could not be explained by differential arrest rates, other potential explanations were also put forward. Individual factors, such as more serious criminal offense charges associated with the current arrest or more serious criminal histories, could increase the probability of incarceration and make individuals less eligible for drug treatment in lieu of incarceration.…”

Section: Disparities In Criminal Court Referrals To Drug Treatment Anmentioning

confidence: 97%

Disparities in Criminal Court Referrals to Drug Treatment and Prison for Minority Men

2013

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Objectives. We investigated the extent to which racial/ethnic disparities in prison and diversion to drug treatment were explained by current arrest and criminal history characteristics among drug-involved offenders, and whether those disparities decreased after California’s Proposition 36, which mandated first- and second-time nonviolent drug offenders drug treatment instead of prison. Methods. We analyzed administrative data on approximately 170 000 drug-involved arrests in California between 1995 and 2005. We examined odds ratios from logistic regressions for prison and diversion across racial/ethnic groups before and after Proposition 36. Results. We found significant disparities in prison and diversion for Blacks and Hispanics relative to Whites. These disparities decreased after controlling for current arrest and criminal history characteristics for Blacks. Proposition 36 was also associated with a reduction in disparities, but more so for Hispanics than Blacks. Conclusions. Disparities in prison and diversion to drug treatment among drug-involved offenders affect hundreds of thousands of citizens and might reinforce imbalances in criminal justice and health outcomes. Our study indicated that standardized criminal justice policies that improved access to drug treatment might contribute to alleviating some share of these disparities.

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“…According to Tonry and Melewski, "such large unexplained variation creates a strong presumption of racial bias" (p. 18). Research conducted following the publication of Blumstein's landmark study also has revealed considerable interstate (Hawkins and Hardy 1987;Sabol 1989;Crutchfield, Bridges, and Pitchford 1994) and regional (Sorensen, Hope, and Stemen 2003) variability. Hawkins and Hardy's (1987) analysis of state-by-state data found that the percentage of racial 3 Blumstein's conclusions were confirmed by Langan (1985), who argued that it was more appropriate to use prison admissions and victimization data on the perceived race of the offender.…”

Section: A Critiques Of the "Blumstein Approach"mentioning

confidence: 99%

Race, Crime, and Punishment in the Twentieth and Twenty-First Centuries

Spohn

2015

Crime and Justice

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Racial disproportionality in state prison admissions: Can regional variation be explained by differential arrest rates?

Cited by 37 publications

References 8 publications

Mental Health and Other Risk Factors for Jail Incarceration Among Male Veterans

Mental Health and Other Risk Factors for Jail Incarceration Among Male Veterans

Disparities in Criminal Court Referrals to Drug Treatment and Prison for Minority Men

Race, Crime, and Punishment in the Twentieth and Twenty-First Centuries

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