Although financial losses from white-collar crime continue to exceed those of street crime, the criminal justice system has traditionally focused on the latter. Past research suggested that citizens are more likely to support punitive sanctions for street offenders than white-collar offenders. Recen
Do perceptions of punishment vary between white-collar and street crimes?
โ Scribed by Andrea Schoepfer; Stephanie Carmichael; Nicole Leeper Piquero
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 237 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0047-2352
No coin nor oath required. For personal study only.
โฆ Synopsis
Much has been learned about the relationship between sanction threat perceptions and criminal activity, yet little remains known about the factors that are associated with sanction threat perceptions. Moreover, because most researchers had studied deterrence within the context of street crime, even less is known about the factors that relate to sanction threat perceptions for white-collar crime. This study used data from a national probability sample to examine whether the determinants of perceived sanction certainty and severity for street crime were different from white-collar crime. Using robbery and fraud as two exemplars, the findings indicated that while public perceptions of sanction certainty and severity suggested that street criminals were more likely to be caught and be sentenced to more severe sanctions than white-collar criminals, respondent's perceptions of which type of crime should be more severely punished indicated that both robbery and fraud were equally likely to be perceived 'on par.' Additional results indicated that the correlates of certainty and severity were more similar than different, but that the results differed according to whether respondents were asked about the punishment that white-collar offenders were likely to receive as opposed to what they should receive.
๐ SIMILAR VOLUMES
Agnew's (1992) general strain theory (GST) had been tested across a wide range of populations and on numerous criminal and analogous behaviors. The ability of GST to predict white-collar offending, however, had yet to be explored. Using data from convicted white-collar offenders, this research ex