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WILLINGNESS‐TO‐PAY FOR CRIME CONTROL PROGRAMS*
Open accessAbstract
This paper reports on a new methodology to estimate the “cost of crime.” It is adapted from the contingent valuation method used in the environmental economics literature and is itself used to estimate the public's willingness to pay for crime control programs. In a nationally representative sample of 1,300 U.S. residents, we found that the typical household would be willing to pay between $100 and $150 per year for programs that reduced specific crimes by 10 percent in their communities. This willingness amounts, collectively, to approximately $25,000 per burglary, $70,000 per serious assault, $232,000 per armed
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Citations
Cited by
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Cohen, M. A., & Piquero, A. R. (2009) · Journal of Quantitative Criminology · doi:10.1007/s10940-008-9057-3 · Cited by 682
Self-citationThe cost of crime to society: New crime-specific estimates for policy and program evaluation
McCollister, K. E., French, M. T., & Fang, H. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2009.12.002 · Cited by 584
SOX after Ten Years: A Multidisciplinary Review
Coates, J. C., & Srinivasan, S. (2014) · Accounting Horizons · doi:10.2308/acch-50759 · Cited by 228
Summer jobs reduce violence among disadvantaged youth
Heller, S. B. (2014) · Science · doi:10.1126/science.1257809 · Cited by 206
Do Prisons Make Us Safer?: The Benefits and Costs of the Prison Boom
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Metadata
- Authors
- COHEN, M. A., RUST, R. T., STEEN, S., & TIDD, S. T.
- Venue
- Criminology
- Publisher
- Wiley
- Published
- 2004-02
- Volume
- 42
- Issue
- 1
- Pages
- 89-110
- ISSN
- 0011-1384 (ISSN-L)
- 1745-9125
- OpenAlex
- W3122498190
- Cited by
- 388
- References
- 0
- FWCI
- 27.66
- Type
- journal article
- Language
- en
- Open access
- green
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- COHEN, M. A., RUST, R. T., STEEN, S., & TIDD, S. T. (2004). WILLINGNESS‐TO‐PAY FOR CRIME CONTROL PROGRAMS*. Criminology. https://doi.org/10.1111/j.1745-9125.2004.tb00514.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.