Gender and Arrests for Larceny, Fraud, Forgery, and Embezzlement: Conventional or Occupational Property Crime Offenders?

Darrell J. Steffensmeier, Casey T. Harris, Noah Painter-Davis

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Purpose: Our goal is to address a major debate within criminology - among scholars and practitioners interested in white collar/corporate crime and the gender-crime relationship in particular - regarding the types of offenses and offenders represented within the Uniform Crime Report categories of larceny, fraud, forgery, and embezzlement (LFFE). In particular, we examine whether female versus male arrests are serious, employment-situated offenses or instead represent minor, conventional property crime. Methods: We utilize detailed offense and incident information from the National Incident-Based Reporting System and New York Crime Reporting Program to disaggregate female and male LFFE arrests into occupational and non-occupational offenses, as well as establish the severity for each specific type of crime. Results: We find most LFFE offending is non-occupational, especially for females whose arrests are disproportionately for shoplifting, bad checks, and welfare/benefit fraud as compared to male arrests for theft from motor vehicles, transportation fraud, and counterfeiting. For both males and females, most arrests involve small financial loss and misdemeanors or low-level felony charges. Conclusions: Providing a current profile of female and male property crime, we conclude that arrestees within the summary categories of larceny, fraud, and forgery overwhelmingly represent minor, conventional property crime offenders.

Original languageEnglish (US)
Pages (from-to)205-217
Number of pages13
JournalJournal of Criminal Justice
Volume43
Issue number3
DOIs
StatePublished - May 1 2015

Fingerprint

Fraud
larceny
Crime
fraud
offender
offense
gender
Criminology
Theft
benefit fraud
incident
Risk Management
Motor Vehicles
shoplifting
counterfeiting
misdemeanor
reporting system
criminology
motor vehicle

All Science Journal Classification (ASJC) codes

  • Social Psychology
  • Applied Psychology
  • Sociology and Political Science
  • Law

Cite this

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title = "Gender and Arrests for Larceny, Fraud, Forgery, and Embezzlement: Conventional or Occupational Property Crime Offenders?",
abstract = "Purpose: Our goal is to address a major debate within criminology - among scholars and practitioners interested in white collar/corporate crime and the gender-crime relationship in particular - regarding the types of offenses and offenders represented within the Uniform Crime Report categories of larceny, fraud, forgery, and embezzlement (LFFE). In particular, we examine whether female versus male arrests are serious, employment-situated offenses or instead represent minor, conventional property crime. Methods: We utilize detailed offense and incident information from the National Incident-Based Reporting System and New York Crime Reporting Program to disaggregate female and male LFFE arrests into occupational and non-occupational offenses, as well as establish the severity for each specific type of crime. Results: We find most LFFE offending is non-occupational, especially for females whose arrests are disproportionately for shoplifting, bad checks, and welfare/benefit fraud as compared to male arrests for theft from motor vehicles, transportation fraud, and counterfeiting. For both males and females, most arrests involve small financial loss and misdemeanors or low-level felony charges. Conclusions: Providing a current profile of female and male property crime, we conclude that arrestees within the summary categories of larceny, fraud, and forgery overwhelmingly represent minor, conventional property crime offenders.",
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Gender and Arrests for Larceny, Fraud, Forgery, and Embezzlement : Conventional or Occupational Property Crime Offenders? / Steffensmeier, Darrell J.; Harris, Casey T.; Painter-Davis, Noah.

In: Journal of Criminal Justice, Vol. 43, No. 3, 01.05.2015, p. 205-217.

Research output: Contribution to journalArticle

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