Anirban Basu (Section of General Internal Medicine, Department of Medicine, Center for Health and the Social Sciences, University of Chicago, USA) A. David Paltiel (Department of Epidemiology and Public Health, Yale University School of Medicine, USA) Harold A. Pollack (School of Social Service Administration, Center for Health Administration Studies, University of Chicago, USA)
Abstract
Reduced crime provides a key benefit associated with substance abuse treatment (SAT). Armed robbery is an especially costly and frequent crime committed by some drug-involved offenders. Many studies employ valuation methods that understate the true costs of robbery, and thus the true social benefits of SAT-related robbery reduction. At the same time, regression to the mean and self-report bias may lead pre-post comparisons to overstate crime reductions associated with SAT.
Using 1992-1997 data from the National Treatment Improvement Evaluation Study (NTIES), we examined pre-post differences in self-reported robbery among clients in five residential and outpatient SAT modalities. Fixed-effect negative binomial regression was used to examine incidence rate reductions (IRR) in armed robbery. Published data on willingness to pay to avoid robbery were used to determine the social valuation of these effects. Differences in IRR across SAT modalities were explored to bound potential biases.
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: