ABSTRACT
This paper reviews the sample and methods used for the three papers in this special issue that focus on gender differences and similarities among people convicted of white-collar offenses under community supervision. Context is provided regarding the origins of the papers for this special issue and their subsequent approach to the study of gender and white-collar crime. Detail is provided on the data set used for this study, which was originally developed from the Administrative Office of the United States Courts in order to study federal probation’s risk and needs assessment tool. Finally, the paper describes how people sentenced for white-collar types of crimes were selected for inclusion in the papers for this special issue.
Acknowledgments
The author would like to thank the Administrative Office of the United States Courts for sharing data to study people convicted of white-collar offenses on community supervision. The author would also like to thank Brian Payne for suggesting and supporting this special issue on gender and white-collar crime. The series of papers in this special issue also benefited from the input of participants at the American Society of Criminology (2018) who attended the panel on this topic.
Disclosure statement
No potential conflict of interest was reported by the author.
Notes
1. See the Urban Institute’s Justice Policy Center for more information on using ‘people first’ language: https://www.urban.org/urban-wire/people-first-changing-way-we-talk-about-those-touched-criminal-justice-system.
Additional information
Notes on contributors
Erin Harbinson
Erin Harbinson is a Research Scholar at the Robina Institute of Criminal Law and Criminal Justice in the University of Minnesota Law School, where she works on projects at the intersection of research, policy, and practice in the areas of probation and parole. Her research interests include corrections, criminal justice policy, white-collar crime, and cybercrime.