Hierarchical Bayesian Analysis of Arrest Rates

Journal of the American Statistical Association

Volumn 93, Issue 444, 1998, Pages 1260-1270

  Cohen, Jacqueline ^a   Nagin, Daniel ^a   Wasserman, Larry ^a   Wallstrom, Garrick ^b,c  

^a Department of Electrical and Computer Engineering H John Heinz III School of Public Policy and Management   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Crime data; Hierarchical models; Markov chain Monte Carlo

Indexed keywords

EID: 0032260516     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.1998.10473787     Document Type: Article

References (37)

1. Berger, J. O., and Strawderman, W. (1993), “Choice of Hierarchical Priors: Admissibility in Estimation of Normal Means,” Technical Report 93-34C, Purdue University, Dept, of Statistics.
2. Besag, J., Green, P., Higdon, D., and Mengersen, K. (1995), “Bayesian Computation and Stochastic Systems,” Statistical Science, 10, 3-41.
3. Blumstein, A., Canela-Cacho, J. A., and Cohen, J. (1993), “Filtered Sampling From Populations With Heterogeneous Event Frequencies,” Management Sciences, 39, 886-899.
4. Blumstein, A., Cohen, J., and Visher, C. A. (1988), Linking the Crime and Arrest Process To Measure Individual Arrest Risk per Crime, Final Report to National Institute of Justice, Washington, DC: National Criminal Justice Reference Service.
5. Boland, B., Mahanna, P., and Sones, R. (1992), The Prosecution of Felony Arrests 1988, Washington, DC: U.S. Department of Justice.
6. Bureau of Justice Statistics (1989), Felony Sentences in State Courts, 1986, Washington, DC: U.S. Department of Justice.
7. Canela-Cacho, J. A. (1990), “Incapacitative Effect and Prison Population Under Offender Heterogeneity,” Ph.D. dissertation, Carnegie Mellon University.
8. Chaiken, J., and Chaiken, M. (1982), Varieties of Criminal Behavior, Santa Monica, CA: The Rand Corporation.
9. Chaiken, J., and Chaiken, M. (1990), “Drugs and Predatory Crime,” in Drugs and Crime, eds. M. Tonry and J. Q. Wilson, Chicago: University of Chicago Press.
10. Cohen, I., Nagin, D., and Wasserman, L. (1994), Drug Offenders: How Bad Are They? Final Report to National Institute of Justice, Washington, DC: National Criminal Justice Reference Service.
11. Daniels, M. (1995), “Hierarchical Regression Models With Applications,” Ph.D. dissertation, Harvard School of Public Health.
12. Dilulio, J. J., Jr., and Piehl, A. (1991), “Does Prison Pay? The Stormy National Debate Over the Cost-Effectiveness of Imprisonment,” Brookings Review, Fall, 28-35.
13. DuMouchel, W. (1994), “Hierarchical Bayes Linear Models for MetaAnalysis,” Technical Report 27, National Institute of Statistical Sciences.
14. Dunford, R. W., and Elliott, D. S. (1984), “Identifying Career Offenders Using Self-Reported Data,” Journal of Research in Crime and Delinquency, 21, 57-87.
15. Everingham, S. S., and Rydell, C. P. (1994), Modeling the Demand for Cocaine, Santa Monica, CA: Rand Corporation.
16. Fagan, J., and Chin, K. (1990), “Violence as Regulation and Social Control in the Distribution of Crack,” in Drugs and Violence: Causes, Correlates, and Consequences, NIDA Monograph 103, eds. M. DelRosa, E. Y. Lambert, and B. Gropper, Washington, DC: National Institute on Drug Abuse.
17. Gelfand, A. E., and Smith, A. F. M. (1990), “Sampling-Based Approaches to Calculating Marginal Densities,” Journal of the American Statistical Association, 85, 398-409.
18. Gelman, A., Carlin, J., Stern, H., and Rubin, D. (1995), Bayesian Data Analysis, London: Chapman and Hall.
19. Greenwood, P. W., and Turner, S. (1987), Selective Incapacitation Revisited: Why High-Rate Offenders Are Difficult To Predict, Santa Monica, CA: Rand Corporation.
20. Hobart, J., and Casella, G. (1994), 'The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed Models,” technical report, Cornell University, Dept, of Biometrics.
21. Hobart, J., and Casella, G. (1995), “Functional Compatibility, Markov Chains and Gibbs Sam-pling With Improper Priors,” technical report, Cornell University, Dept, of Biometrics.
22. Huizinga, D., and Dunford, F. W. (1985), “The Delinquent Behaviors of Arrested Individuals,” paper presented to annual meeting of the Academy of Criminal Justice Sciences, Boulder, CO: Behavioral Research Institute.
23. Jeffreys, H. (1961), Theory of Probability, (3rd ed.), London: Oxford University Press.
24. Johnson, B. D., Golub, A., and Fagan, J. (1995), “Careers in Crack Use, Drug Use, Drug Distribution, and Nondrug Criminality,” Crime and Delinquency, 41, 275-295.
25. Kass, R., and Steffey, D. (1989), “Approximate Bayesian Inference in Conditionally Independent Hierarchical Models (Parametric Empirical Bayes Models),” Journal of the American Statistical Association, 84, 717-726.
26. Kass, R. E., and Wasserman, L. (1995), “The Selection of Prior Distributions by Formal Rules,” Journal of the American Statistical Association, 91, 1343-1370.
27. Langan, P. A., and Dawson, J. M. (1993), Felony Sentences in State Courts, 1990, Washington, DC: U.S. Department of Justice, Bureau of Justice Statistics.
28. Morris, N., and Tonry, M. (1990), Between Prison and Prohibition, New York: Oxford University Press.
29. Nagin, D. S., and Land, K. (1993), “Age, Criminal Careers, and Population Heterogeneity: Specification and Estimation of a Non-Parametric Mixed Poisson Model,” Criminology, 31, 327-362.
30. Piehl, A., and Dilulio, J. J. (1995), “Does Prison Pay? Revisited,” Brookings Review, Winter, 21-25.
31. Reuter, P., MacCoun, R., and Murphy, P. (1990), Money From Crime: A Study of the Economics of Drug Dealing in Washington, DC, Santa Monica, CA: Rand Corporation.
32. Rydell, C. P., Caulkins, J., and Everingham, S. S. (1994), Enforcement or Treatment: Modeling the Relative Efficiency of Alternatives for Controlling Cocaine, Santa Monica, CA: Rand Corporation.
33. Rydell, C. P., and Everingham, S. S. (1994), Controlling Cocaine: Supply vi. Demand Program, Santa Monica, CA: Rand Corporation.
34. Tanner, M., and Wong, W. (1987), 'The Calculation of Posterior Distributions by Data Augmentation” (with discussion), Journal of the American Statistical Association, 82, 528-550.
35. Tierney, L. (1994), “Markov Chains for Exploring Posterior Distributions” (with discussion), The Annals of Statistics, 22, 1701-1762.
36. Zimring, F. E., and Hawkins, G. (1991), The Scale of Imprisonment, Chicago: University of Chicago Press.
37. Zimring, F. E., and Hawkins, G. (1995), Incapacitation: Penal Confinement and the Restraint of Crime, New York: Oxford University Press.