Additional supporting information can be found in the listing for this article in the Wiley Online Library at http://onlinelibrary.wiley.com/doi/10.1111/crim.2012.50.issue-4/issuetoc.
DEALERS, THIEVES, AND THE COMMON DETERMINANTS OF DRUG AND NONDRUG ILLEGAL EARNINGS*
Article first published online: 12 SEP 2012
© 2012 American Society of Criminology
Volume 50, Issue 4, pages 1057–1087, November 2012
How to Cite
THOMPSON, M. and UGGEN, C. (2012), DEALERS, THIEVES, AND THE COMMON DETERMINANTS OF DRUG AND NONDRUG ILLEGAL EARNINGS. Criminology, 50: 1057–1087. doi: 10.1111/j.1745-9125.2012.00286.x
We thank Neal Wallace, Kia Heise, Heather McLaughlin, Jacqui Frost, and Suzy McElrath for research assistance and helpful comments. This research is supported by the National Institute of Justice and a Robert Wood Johnson Foundation Investigator Award in Health Policy Research to Christopher Uggen. Direct correspondence to Melissa Thompson, Department of Sociology, Portland State University, P.O. Box 751, Portland, OR 97207–0751 (e-mail: firstname.lastname@example.org).
- Issue published online: 30 OCT 2012
- Article first published online: 12 SEP 2012
- drugs and money;
- illegal earnings;
- drug sales;
- differences in predictors
Drug crime often is viewed as distinctive from other types of crime, meriting greater or lesser punishment. In view of this special status, this article asks whether and how illegal earnings attainment differs between drug sales and other forms of economic crime. We estimate monthly illegal earnings with fixed-effects models, based on data from the National Supported Work Demonstration Project and the National Longitudinal Survey of Youth. Although drug sales clearly differ from other types of income-generating crime, we find few differences in their determinants. For example, the use of cocaine or heroin increases illegal earnings from both drug and nondrug crimes, indicating some degree of fungibility in the sources of illegal income. More generally, the same set of factors—particularly legal and illegal opportunities and embeddedness in criminal and conventional networks—predicts both drug earnings and nondrug illegal earnings.