TY  - CHAP
AB  - Purpose This research examines the direct and interactive effects of defendant race and sex on judicial decisions to utilize mitigating departures in cases involving felony drug convictions in Virginia.Methodology/approach Logistic regression models are used to examine judicial decisions to depart downward in Schedule I & II, and Other (Schedule III, VI, and V), drug cases. The direct and interactive effects of race and sex on departure decisions are modeled separately for Schedule I & II and Other drug offenses.Findings Defendant race and sex exert both direct and interactive effects on decisions to sentence offenders below the guidelines for both drug categories. Cases involving Black and male defendants, relative to white and female defendants, are significantly less likely to result in mitigating departures for Schedule I & II, and Other drug, violations. The interaction models indicate that cases involving Black male defendants are less likely to result in mitigating departures than other cases, while cases involving white females have higher odds of receiving mitigating departures than other cases.Originality/value This chapter adds to the current literature on sentencing disparity by examining unwarranted sentencing disparity in Virginia, where scant research has been conducted. Furthermore, this research models decisions separately by drug category and examines both the direct and interactive effects of race and sex.
VL  - 22
SN  - 978-1-78714-604-4, 978-1-78714-603-7/1521-6136
DO  - 10.1108/S1521-613620170000022010
UR  - https://doi.org/10.1108/S1521-613620170000022010
AU  - Elis Lori
PY  - 2017
Y1  - 2017/01/01
TI  - Examining Sentencing Disparity in Virginia: The Impact of Race and Sex on Mitigating Departures for Drug Offenders
T2  - Race, Ethnicity and Law
T3  - Sociology of Crime, Law and Deviance
PB  - Emerald Publishing Limited
SP  - 115
EP  - 133
Y2  - 2024/04/25
ER  -