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33 Crim. Just. Stud. 1 (2020)

handle is hein.journals/cjscj33 and id is 1 raw text is: CRIMINAL JUSTICE STUDIES outledge 2020, VOL. 33, NO. 1, 1-3 https://doi.org/10.1080/1478601X.2019.1709781 Taylor & Francis Group Introduction to the special issue gender and white-collar crime Michael L. Bensona and Erin Harbinson' aSchool of Criminal Justice, University of Cincinnati, Cincinnati, OH, USA; bRobina Institute of Criminal Law and Criminal Justice, University of Minnesota Law School, Minneapolis, USA In 2015 Erin Harbinson, then a PhD candidate in criminal justice at the University of Cincinnati approached the U. S. Probation and Pre-Trial Services Office (PPSO) and offered to conduct a study of their risk assessment tool called the Post-Conviction Risk Assessment (PCRA). She wanted to know if the PCRA could be reliably used on people convicted of white-collar type crimes to predict their likelihood of re-offending or violating the terms of their release while under the supervision of the PPSO. With the permission of the PPSO, Harbinson used that study as the basis for her dissertation (Harbinson, 2017) and for a subsequent publication of its main findings (Harbinson, Benson, & Latessa, 2019). To complete her dissertation Harbinson had to build a massive data file that included informa- tion on a nationally representative sample of over 31,000 people who had been convicted of white-collar type crimes and who were under the supervision of the PPSO sometime between 2006 and 2014. The resulting dataset contained a wealth of information about these individuals that could be used to address questions that extended well beyond the narrow focus of Harbinson's dissertation project. Recognizing the potential value of the dataset to advance understanding of the people who engage in white-collar crime and their treatment in the Federal judicial system, she invited a team of scholars to undertake additional analyses focusing specifically on gender and to present their results at the annual meeting of the American Society of Criminology in 2018. That session led to the three main papers in this special issue by Ruhland and Selzer, Goulette, and Benson and Harbinson. As Harbinson (this issue) explains in detail, the sample for the study was identified using an offense-based definition of white-collar crime. That is, for the studies reported here white-collar crime was restricted to 'economic offenses committed through the use of some combination of fraud, deception, or collusion' (Shapiro, 1981). This approach is similar to the one used in the famous Yale studies (Wheeler, Weisburd, & Bode, 1982), but expands upon it because the sample includes additional offenses, such as environmental and workplace safety violations, that were not part of the Yale study. Indeed, the sample includes virtually all of the different types of white-collar crime that federal prosecutors pursued between 2006 and 2014. Hence, we are confident that the findings presented here have not been contaminated by any form of sample selection bias. Although gender is one of the most important, well known, and well-studied correlates of criminal involvement, relatively little research has been conducted on how gender relates to involvement in white-collar crime. The lack of rigorous quantitative studies CONTACT Michael L. Benson Q bensonm@ucmail.uc.edu School of Criminal Justice, University of Cincinnati, PO Box 210002, Cincinnati, OH 45221, USA © 2019 Informa UK Limited, trading as Taylor & Francis Group

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