Age and Gender Involvement in White Collar Crime

Open Access
Prewitt, Brian Richard
Area of Honors:
Bachelor of Arts
Document Type:
Thesis Supervisors:
  • Darrell J Steffensmeier, Thesis Supervisor
  • Stacy Silver, Honors Advisor
  • White Collar Crime
  • Fraud
  • Criminology
  • Gender
  • Age
Financial Fraud Enforcement Task Force 2010 Report data are analyzed in this research in an attempt to better understand the relationship between age and white collar crime, and gender and white collar crime. Data in the report were supplemented with outside sources, particularly data from the Public Access to Court Records System, Uniform Crime Reports, and news databases. The data on age and white collar crime were processed in order to determine patterns and create age curves to compare with curves for ordinary property crimes such as burglary and conventional forms of fraud. The comparison found that the ages of offenders in cases of white collar crime are generally older. This is directly at odds with invariance theory, which posits that the age-crime curve is invariant across crimes. Findings also revealed that women were less likely to be white collar offenders, caused less loss, and committed crimes in far fewer categories of fraud. Based on the findings, this research recommends that better databases on white collar crime be constructed. Included in the appendix are suggestions for conducting research on corporate frauds.