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The Influence of Scope, Frames, and Extreme Willingness to Pay Responses on Cost of Crime Estimates

  • Jacqueline G. LeeEmail author
  • Daren Fisher
Article

Abstract

As governments with limited fiscal resources seek to invest in the “best” programs to prevent crime, they often first try to identify the true costs of crime to guide these decisions. Contingent valuation (CV) is a common survey method used to elicit how much the public is willing to pay (WTP) to reduce a particular crime. We utilize one of the first datasets in criminal justice that includes open-ended WTP data gathered from a survey using factorial design and random assignment. WTP figures are then input into a formula which also takes into account 1) the number of households and 2) the number of crimes “avoided,” which is calculated based upon the percentage crime reduction presented to survey respondents. Drawing upon data from a representative sample of the United States, we assess how sensitive respondents are to crime type, crime reduction percentages, program types, and framing. Results demonstrate that in general, open-ended WTP surveys elicit highly skewed responses and that respondents are more willing to pay for crime reduction programs with a higher number of individual components. However, respondents are not sensitive to crime reductions or several other survey framing techniques. Importantly, due to these highly skewed WTP values and lack of responsivity to crime control percentages, final cost of crime numbers vary widely – potentially altering policy decisions driven by these methods. We conclude with a discussion of the appropriateness of these methods for accurately estimating the costs of crime.

Keywords

Costs of crime Willingness to pay Policy decision-making Open-ended survey Framing 

Notes

Funding Information

This project was supported by Award 2013-IJ-CX-0058, granted by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. Any opinions, viewpoints, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect those of the Department of Justice. All code for analyses are available upon request by contacting the first author. Data are available through the National Archive of Criminal Justice Data: https://www.icpsr.umich.edu/icpsrweb/NACJD/studies/36520/summary

References

  1. Ajzen, I., Rosenthal, L. R., & Brown, T. C. (2000). Effects of perceived fairness on willingness to pay. Journal of Applied Social Psychology, 30, 2439–2450.CrossRefGoogle Scholar
  2. Anderson, D. A. (2013). The cost of crime. In Foundations and trends in microeconomics (Vol. 7: No. 3, pp. 209–265). Hanover: Now Publishers.Google Scholar
  3. Aos, S. (2015). What is the bottom line? Criminology & Public Policy, 14, 633–638.CrossRefGoogle Scholar
  4. Aos, S., Lee, S., Drake, E., Pennucci, A., Klima, T., Miller, M., Anderson, L., Mayfield, J., & Burley, M. (2011). Return on investment: Evidence-based options to improve statewide outcomes (Document No. 11-07-1201). Olympia: Washington State Institute for Public Policy.Google Scholar
  5. Arrow, K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R., & Schuman, H. (1993). Report of the NOAA panel on contingent valuation. Federal Register, 58, 4601–4614.Google Scholar
  6. Atkinson, G., Healey, A., & Mourato, S. (2005). Valuing the costs of violent crime: A stated preference approach. Oxford Economic Papers, 57(4), 559–585.CrossRefGoogle Scholar
  7. Black, D. A., Solow, R. M., & Taylor, L. J. (2015). Comments on dominquez and raphael. Criminology & Public Policy, 14, 639–646.CrossRefGoogle Scholar
  8. Bureau of Justice Statistics. (2018). Percent distribution of expenditure for the justice system by type of government, fiscal 2015. Justice Expenditure and Employment Extracts Program (JEEE). Available at: http://www.bjs.gov/index.cfm?ty=pbdetail&iid=6310. Accessed May 7 2019.
  9. Carson, R. T., & Hanemann, W. M. (2005). Contingent valuation. Handbook of Environmental Economics, 2, 821–936.CrossRefGoogle Scholar
  10. Carson, R. T., Mitchell, R. C., Hanemann, W. M., Kopp, R. J., Presser, S., & Ruud, P. A. (1992). A contingent valuation study of lost passive use values resulting from the Exxon Valdez oil spill. Anchorage, AK.Google Scholar
  11. Chalfin, A. (2015). Economic costs of crime. In W. Jennings (Ed.), The Encyclopedia of crime and punishment (pp. 1–12). Chichester: Wiley-Blackwell.Google Scholar
  12. Cohen, M. A. (1988). Pain, suffering, and jury awards: A study of the cost of crime to victims. Law & Society Review, 22, 537.CrossRefGoogle Scholar
  13. Cohen, M. A. (2015). Willingness to pay to reduce white-collar and corporate crime. Journal of Benefit-Cost Analysis, 6(2), 305–324.CrossRefGoogle Scholar
  14. Cohen, M. A., & Piquero, A. R. (2009). New evidence on the monetary value of saving a high risk youth. Journal of Quantitative Criminology, 25(1), 25–49.CrossRefGoogle Scholar
  15. Cohen, M.A., Rust, R.T., Steen, S. & Tidd, S.T. (2004). Willingness to pay for crime control programs. Criminology, 42, 89–109.Google Scholar
  16. Cohen, M. A., Piquero, A. R., & Jennings, W. G. (2010). Studying the costs of crime across offender trajectories. Criminology & Public Policy, 9(2), 279–305.CrossRefGoogle Scholar
  17. Department of Justice. (2012). Prison rape elimination act regulatory impact assessment. Washington, DC: U.S. Department of Justice. Available at: https://ojp.gov/programs/pdfs/prea_ria.pdf
  18. Diamond, P. A., & Hausman, J. A. (1994). Contingent valuation: Is some number better than no number? Journal of Economic Perspectives, 8(4), 45–64.CrossRefGoogle Scholar
  19. Domínguez, P., & Raphael, S. (2015). The role of the cost-of-crime literature in bridging the gap between social science research and policy making: Potentials and limitations. Criminology & Public Policy, 14, 589–632.CrossRefGoogle Scholar
  20. Harrell, E. (2015). Victims of identity theft, 2014. Washington, D.C.: Bureau of Justice Statistics.Google Scholar
  21. Galvin, M. A., Loughran, T.A., Simpson, S.S., & Cohen, M.A. (2018). Victim compensation policy and white-collar crime: Public preferences in a national willingness-to-pay survey. Criminology and Public Policy, 17, 553–594.Google Scholar
  22. Greenwood, P. W., Rydell, C. P., Abrahamse, A.F., Caulkins, J.P., Chiesa, J., Model, K.E., & Klein, S.P. (1994). Three strikes and you’re out: Estimated costs and benefits of California’s new mandatory-sentencing law. Santa Monica, CA: RAND Corporation.Google Scholar
  23. Hausman, J. A., Leonard, G. K., & McFadden, D. (1995). A utility-consistent, combined discrete choice and count data model assessing recreational use losses due to natural resource damage. Journal of Public Economics, 56(1), 1–30.CrossRefGoogle Scholar
  24. Institute of Medicine and National Research Council. (2014). Considerations in applying benefit-cost analysis to preventative interventions for children, youth, and families: Workshop summary. Washington, D.C.: National Academies Press.Google Scholar
  25. Kerr, G. N., Sharp, B. M., & White, P. (2003). The economics of augmenting Christchurch’s water supply. Journal of Hydrology (New Zealand), 42, 113–124.Google Scholar
  26. Koford, B. C. (2010). Public budget choices and private willingness to pay. Public Budgeting and Finance, 30, 47–68.CrossRefGoogle Scholar
  27. Kristof, K. (2018, February 6th). Identity theft has never been more rampant. CBS News. Retrieved from https://www.cbsnews.com/news/identity-theft-hits-record-high/
  28. Langford, I. H., Kontogianni, A., Skourtos, M. S., Georgiou, S., & Bateman, I. J. (1998). Multivariate mixed models for open-ended contingent valuation data: Willingness to pay for conservation of monk seals. Environmental and Resource Economics, 12(4), 443–456.CrossRefGoogle Scholar
  29. Levy, D. S., Hammitt, J. K., Duan, N., Downes-LeGuin, T., & Friedman, D. (1995). Conceptual and statistical issues in contingent valuation: Estimating the value of altered visibility in the Grand Canyon. Santa Monica: Rand Corporation.Google Scholar
  30. Linden, L. & Rockoff, J.E. (2008). Estimates of the impact of crime risk on property values from Megan’s laws. American Economic Review, 98, 1103–1127.Google Scholar
  31. Ludwig, J., & Cook, P. J. (2001). The benefits of reducing gun violence: Evidence from contingent-valuation survey data. Journal of Risk and Uncertainty, 22(3), 207–226.CrossRefGoogle Scholar
  32. Manski, C. (2015). Narrow or broad cost-benefit analysis? Criminology & Public Policy, 14, 647–651.CrossRefGoogle Scholar
  33. McCollister, K. E., French, M. T., & Fang, H. (2010). The cost of crime to society: New crime-specific estimates for policy and program evaluation. Drug and Alcohol Dependence, 108(1–2), 98–109.CrossRefGoogle Scholar
  34. Miller, T. R., Cohen, M. A., & Wiersema, B. (1996). Victim costs and consequences: A new look. Washington, DC: US Department of Justice, Office of Justice Programs, National Institute of Justice.Google Scholar
  35. Mitchell, R. C., & Carson, R. T. (1989). Using surveys to value public goods: The contingent valuation method. Washington, DC: Resources for the Future.Google Scholar
  36. Nagin, D. S. (2015). Cost-Benefit Analysis of Crime Prevention Policies. Criminology & Public Policy, 14, 583–587.CrossRefGoogle Scholar
  37. Nagin, D. S., Piquero, A. R., Scott, E. S., & Steinberg, L. (2006). Public preferences for rehabilitation versus incarceration of juvenile offenders: Evidence from a contingent valuation survey. Criminology & Public Policy, 5(4), 627–651.CrossRefGoogle Scholar
  38. Obama, B. (2017). The President’s role in advancing criminal justice reform. Harvard Law Review, 130, 811.Google Scholar
  39. Phelps, M. S. (2016). Possibilities and contestation in twenty-first-century US criminal justice downsizing. Annual Review of Law and Social Science, 12, 153–170.CrossRefGoogle Scholar
  40. Picasso, E., & Cohen, M. A. (2019). Valuing the public’s demand for crime prevention programs: A discrete choice experiment. Available online at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3015649 Accessed May 7 2019.
  41. Piché, J. (2015). Playing the “treasury card” to contest prison expansion: Lessons from a public criminology campaign. Social Justice, 41((3 137)), 145–167.Google Scholar
  42. Piquero, A. R., & Steinberg, L. (2010). Public preferences for rehabilitation versus incarceration of juvenile offenders. Journal of Criminal Justice, 38(1), 1–6.CrossRefGoogle Scholar
  43. Piquero, N. L., Cohen, M. A., & Piquero, A. R. (2011). How much is the public willing to pay to be protected from identity theft? Justice Quarterly, 28(3), 437–459.CrossRefGoogle Scholar
  44. Rubin, I. (2005). The state of state budget research. Public Budgeting & Finance, 25(4s), 46–67.CrossRefGoogle Scholar
  45. Schweinhart, L. J., Barnes, H. V., & Weikart, D. P. (1992). Significant benefits: The igh scope perry preschool study through age 27. Ysplanti: High Scope Press.Google Scholar
  46. Simpson, S. S., Cohen, M. A., & Loughran, T. A. (2015). White-collar and corporate frauds: understanding and measuring public policy preferences, United States. Ann Arbor: Inter-university Consortium for Political and Social Research [distributor], 2018-05-16.  https://doi.org/10.3886/ICPSR36520.v1
  47. Smith, A., & Jensen, J. L. (2017). An assessment of factors important to legislators in budget decisions; How much impact can agencies have? Public Budgeting & Finance, 37(3), 112–133.CrossRefGoogle Scholar
  48. Soares, R. R. (2015). Welfare costs of crime and common violence. Journal of Economic Studies, 42(1), 117–137.CrossRefGoogle Scholar
  49. Thaler, R. (1978). A note on the value of crime control: Evidence from the property market. Journal of Urban Economics, 5(1):137–145CrossRefGoogle Scholar
  50. Tonry, M. (2015). The cost-benefit fog may be clearing: Prisoners and their kids suffer too. Criminology & Public Policy, 14, 653–671.CrossRefGoogle Scholar
  51. United States Census Bureau. (2007). 2007 Data release. Available online at: http://www.census.gov/acs/www/data_documentation/2007_release/. Accessed May 7 2019.
  52. Welsh, B. C., & Farrington, D. P. (2015). Monetary value of early developmental crime prevention and its policy significance. Criminology & Public Policy, 14, 673–680.CrossRefGoogle Scholar
  53. Yu, X., & Abler, D. (2010). Incorporating zero and missing responses into CVM with open-ended bidding: willingness to pay for blue skies in Beijing. Environment and Development Economics, 15(5), 535–556.CrossRefGoogle Scholar
  54. Zarkin, G. A., Cates, S. C., & Bala, M. V. (2000). Estimating the willingness to pay for drug abuse treatment: A pilot study. Journal of Substance Abuse Treatment, 18(2), 149–159.CrossRefGoogle Scholar

Copyright information

© Southern Criminal Justice Association 2019

Authors and Affiliations

  1. 1.Department of Criminal JusticeBoise State UniversityBoiseUSA
  2. 2.Department of Criminal JusticeThe CitadelUSA

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