Age and Gender Involvement in White Collar Crime

Open Access
Author:
Prewitt, Brian Richard
Area of Honors:
Criminology
Degree:
Bachelor of Arts
Document Type:
Thesis
Thesis Supervisors:
  • Darrell J Steffensmeier, Thesis Supervisor
  • Stacy Silver, Honors Advisor
Keywords:
  • White Collar Crime
  • Fraud
  • Criminology
  • Gender
  • Age
Abstract:
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.