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Effectiveness of a prolonged incarceration and rehabilitation measure for high-frequency offenders

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A Correction to this article was published on 03 November 2017

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Abstract

Objectives

To estimate the incapacitation effect and the impact on post-release recidivism of a measure combining prolonged incarceration and rehabilitation, the ISD measure for high frequency offenders (HFOs) was compared to the standard practice of short-term imprisonment.

Methods

We applied a quasi-experimental design with observational data to study the effects of ISD. The intervention group consisted of all HFOs released from ISD in the period 2004–2008. Two control groups were derived from the remaining population of HFOs who were released from a standard prison term. To form groups of controls, a combination of multiple imputation (MI) and propensity score matching (PSM) was used including a large number of covariates. In order to measure the incapacitation effect of ISD, the number of convictions and recorded offences in a criminal case of the controls were counted in the same period as their ISD counterfactuals were incarcerated. The impact on recidivism was measured by the prevalence and the frequency of reconvictions corrected for time at risk. Robustness of the results were checked by performing a combined PSM and difference-in-difference (DD) design.

Results

The estimate of the incapacitation effect was on average 5.7 criminal cases and 9.2 offences per ISD measure. On average 2.5 convictions and 4 recorded offences per year per HFO are prevented. The HFOs released from ISD showed 12 to 16 % lower recidivism rates than their control HFOs released from prison (Cohen’s h = 0.3–0.4). The recidivists of the ISD group also showed a lower reconviction frequency than the control group recidivists (Cohen’s d = 0.2).

Conclusions

The ISD measure seems to be effective in reducing recidivism and crime. The estimated incapacitation effect showed that a large portion of criminal cases and offences was prevented. DD analysis and sensitivity analyses confirmed the robustness of the PSM results. Due to the absence of actual treatment data, the effects found cannot be attributed separately to resocialization, imprisonment, or improvement of life circumstances.

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Change history

  • 03 November 2017

    In the article “Effectiveness of a prolonged incarceration and rehabilitation measure for high-frequency offenders”, the results are flawed due to errors that were discovered while carrying out a replication study on newer data.

Notes

  1. The problem of addicted offenders in the Netherlands was countered earlier with the SOV measure (Strafrechtelijke opvang verslaafden or Rehabilitation of Drug-Addicted Offenders Act). This predecessor of the ISD had stricter inclusion criteria and was only applied on a small scale. Two hundred slots were created for addicted male habitual offenders without serious psychiatric disorders. The SOV was merged into the ISD at the end of 2004.

  2. We also used arrest data of the HFOs. The resulting analyses yielded approximately the same effect sizes as those reported in this article and are available upon request by the first author.

  3. The natural log was taken to enhance the visibility of the right tail of the distribution.

References

  • Aebi, M. F., de Cavarlay, B. A., Barclay, G., Gruszcyńska, B., Harrendorf, S., Markku, H., et al. (2010). European sourcebook of crime and criminal justice statistics – 2010. The Hague: WODC.

    Google Scholar 

  • Apel, R. J., & Sweeten, G. (2010). Propensity score matching in criminology and criminal justice. In A. Piquero & D. Weisburd (Eds.), Handbook of quantitative criminology (pp. 543–562). New York: Springer.

    Chapter  Google Scholar 

  • Ashenfelter, O. (1978). Estimating the effect of training programs on earnings. The Review of Economics and Statistics, 6(1), 47–57.

    Article  Google Scholar 

  • Bales, W. D., & Piquero, A. R. (2012). Assessing the impact of imprisonment on recidivism. Journal of Experimental Criminology, 8(1), 71–101.

    Article  Google Scholar 

  • Bersani, B. E., Nieuwbeerta, P., & Laub, J. H. (2009). Predicting trajectories of offending over the life course: findings from a Dutch conviction cohort. Journal of Research in Crime and Delinquency, 46, 468–494.

    Article  Google Scholar 

  • Blokland, A. (2005). Crime over the life span. Trajectories of criminal behavior in Dutch offenders. Dissertation, University of Leiden

  • Blokland, A. A. J., Nagin, D. S., & Nieuwbeerta, P. (2005). Life span offending trajectories of a Dutch conviction cohort. Criminology, 43, 919–954.

    Article  Google Scholar 

  • Cid, J. (2009). Is imprisonment Criminogenic? A comparative study of recidivism rates between prison and suspended prison sanctions. European Journal of Criminology, 6, 459–480.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum.

    Google Scholar 

  • Cook, T. D., Shadish, W. R., & Wong, V. C. (2008). Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within-study comparisons. Journal of Policy Analysis and Management, 27, 724–750.

    Article  Google Scholar 

  • DeJong, C. (1997). Survival analysis and specific deterrence: integrating theoretical and empirical models of recidivism. Criminology, 35, 561–575.

    Article  Google Scholar 

  • DeLisi, M., & Piquero, A. R. (2011). New frontiers in criminal careers research, 2000–2011: a state-of-the-art review. Journal of Criminal Justice, 39, 289–301.

    Article  Google Scholar 

  • Dumont, D. M., Brockmann, B., Dickman, S., Alexander, N. & Rich, J. D. (2012). Public health and the epidemic of incarceration. Annual Review of Public Health, 21(33), 325–339.

  • Farrington, D. P. (1986) Age and crime. In Tonry, M. and Morris, N. (Eds) Crime andJustice: An Annual Review of Research, vol 7. Chicago: University of Chicago Press (pp. 189-250).

  • Farrington, D. P. (2013). Self-reported versus official offending. In D. P. Farrington, A. R. Piquero, & W. G. Jennings (Eds.), Offending from childhood to late middle age: Recent results from the cambridge study in delinquent development (pp. 27–37). New York: Springer.

    Chapter  Google Scholar 

  • Farrington, D. P., Jolliffe, D., Loeber, R., & Hornish, D. L. (2007). How many offences are really committed per juvenile court offender? Victims and Offenders, 2, 227–249.

    Article  Google Scholar 

  • Gendreau, P., Goggin, C., & Cullen, F. (1999). The effects of prison sentences on recidivism. A report to the Corrections Research and Development and Aboriginal Policy Branch, Solicitor General of Canada. Ottawa, Ontario: Public Works & Government Services Canada

  • Glazerman, S., Levy, D. M., & Myers, D. (2002). Nonexperimental replications of social experiments: A systematic review. NJ: Mathematica Policy Research.

    Google Scholar 

  • Goderie, M., & Lünnemann, K. D. (2008). De Maatregel Inrichting voor Stelselmatige Daders. Utrecht: Verwey-Jonker Instituut.

    Google Scholar 

  • Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998a). Characterizing selection bias using experimental data. Econometrica, 66, 1017–1098.

    Article  Google Scholar 

  • Heckman, J. J., Ichimura, H., & Todd, P. E. (1997). Matching as an econometric evaluation estimator: evidence from evaluating a job training programme. Review of Economic Studies, 64, 605–654.

    Article  Google Scholar 

  • Heckman, J. J., Ichimura, H., & Todd, P. (1998b). Matching as an econometric evaluation estimator. Review of Economic Studies, 65, 261–294.

    Article  Google Scholar 

  • Hill, J. L., Reiter, J. P., & Zanutto, E. L. (2004). A comparison of experimental and observational data analyses. In A. Gelman & X. L. Meng (Eds.), Applied Bayesian modeling and causal inference from incomplete data perspectives (pp. 51–60). New York: Wiley.

    Google Scholar 

  • Jacobs, M., & Essers, A. A. M. (2003). De misdaad van de straat. Op zoek naar achtergrondenvan veelplegers. Tijdschrift voor Criminologie, 45(2), 140–152.

    Google Scholar 

  • Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of American Statistic Association, 53, 457–481.

    Article  Google Scholar 

  • Koeter, M. W. J. (2004). Vroeghulp aan verslaafden II: Het effect van de Vroeghulp Interventie Aanpak op criminele recidive en verslavingsgedrag. Amsterdam: The Amsterdam Institute for Addiction Research.

    Google Scholar 

  • Koeter, M. W. J., & Bakker, M. (2007). Effectevaluatie van de strafrechtelijke opvang verslaafden (SOV). Den Haag: WODC.

    Google Scholar 

  • Kurlycheck, M. C., Bushway, S., & Brame, R. (2012). Long-term crime desistance and recidivismpatterns - Evidence from the Essex County Convicted Felon Study. Criminology, 50, 71103.

  • Larney, S., Toson, B., Burns, L., & Dolan, K. (2012). Effect of prison-based opioid substitution treatment and post-release retention in treatment on risk of re-incarceration. Addiction, 107, 372–380.

    Article  Google Scholar 

  • Leuven, E., Sianesi, B. (2003). PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. http://ideas.repec.org/c/boc/bocode/s432001.html.

  • Lipsey, M. W. (2000). Statistical conclusion validity for intervention research: A significant (p < .05) problem. In L. Bickman (Ed.), Validity and social experimentation: Donald Campbell’s legacy (pp. 101–120). Thousand Oaks: Sage.

    Google Scholar 

  • Lipsey, M. W. (2009). The primary factors that characterize effective interventions with juvenile offenders: A meta-analytic overview. Victims and Offenders, 4, 124–147. In: M. Tonry (Eds.), Crime & Justice (pp. 359–505). Chicago: University of Chicago.

  • Lochner, L. (2004). Education, work and crime: a human capital approach. International Economic Review, 45(3), 811–843.

    Article  Google Scholar 

  • Loeffler, C. E. (2013). Does imprisonment alter the life-course? Evidence on crime and employment from a natural experiment. Criminology 51. doi:10.1111/1745-9125.12000.

  • Lund, C., Forsman, A., Anckarsater, H., & Nilsson, T. (2012). Early criminal recidivism among mentally disordered offenders. International Journal of Offender Therapy and Comparative Criminology, 56, 749–768.

    Article  Google Scholar 

  • Meade, B., Steiner, B., Makarios, M., & Travis, L. (2012). Estimating a Dose–response relationship between time served in prison and recidivism. Journal of Research in Crime and Delinquency. doi:10.1177/0022427812458928.

    Google Scholar 

  • Mitchell, O., Wilson, D. B., & MacKenzie, D. L. (2006). The effectiveness of incarceration-based drug treatment on criminal behavior. Campbell Systematic Reviews no. 2006:11. The Campbell Collaboration

  • Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychological Methods, 4(2), 139–157.

  • Nagin, D. S., & Land, K. (1993). “Age, criminal careers, and population heterogeneity: Specification and estimation of a nonparametric mixed poisson model.” Criminology 31, 327–362.

  • Nagin, D. S. & Snodgrass, G. M. (2013). The effect of incarceration on reoffending: Evidence from a natural experiment in Pennsylvania. Journal of Quantitative Criminology. doi:10.1007/s10940-012-9191-9.

  • Nagin, D. S., Cullen, F. T., & Jonson, C. L. (2009). Imprisonment and reoffending. Crime and Justice: A Review of Research, 38, 115–200.

    Article  Google Scholar 

  • Owens, E. G. (2009). More time, less crime? Estimating the incapacitative effect of sentence enhancements. Journal of Law and Economics, 52, 551–579.

    Article  Google Scholar 

  • Parhar, K. K., Wormith, J. S., Derkzen, D. M., & Beauregard, A. M. (2008). Offender coercion in treatment: a meta-analysis of effectiveness. Criminal Justice and Behaviour, 35(9), 1109–1135.

    Article  Google Scholar 

  • Piquero, A., & Blumstein, A. (2007). Does incapacitation reduce crime? Journal of Quantitative Criminology, 23, 267–285.

    Article  Google Scholar 

  • Piquero, A. R., Sullivan, C. J., & Farrington, D. P. (2010). Assessing differences between short-term, high-rate offenders and long-term, low-rate offenders. Criminal Justice and Behavior, 37, 1309–1329.

    Article  Google Scholar 

  • Piquero, A. R., Paternoster, R., Pogarsky, G., & Loughran, T. (2011). Elaborating the individual difference component in deterrence theory. Annual Review of Law and Social Science, 7(7), 335–360.

    Article  Google Scholar 

  • Rempel, M., Green, M., & Kralstein, D. (2012). The impact of adult drug courts on crime and incarceration: findings from a multi-site quasi-experimental design. Journal of Experimental Criminology, 8, 165–192.

    Article  Google Scholar 

  • Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55.

    Article  Google Scholar 

  • Royston, P. (2004). Multiple imputation of missing values. The Stata Journal, 4(3), 227–241.

    Google Scholar 

  • Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.

    Book  Google Scholar 

  • Sampson, R. J., & Laub, J. H. (2003). Life-course desisters? Trajectories of crime among delinquent boys followed to age 70. Criminology, 41, 555–592.

    Article  Google Scholar 

  • Snodgrass, G. M., Blokland, A. J., Haviland, A., Nieuwbeerta, P., & Nagin, D. S. (2011). Does the time cause the crime? An examination of the relationship between time served and reoffending in the Netherlands. Criminology, 49(4), 1149–1194.

    Article  Google Scholar 

  • Sweeten, G., & Apel, R. J. (2007). Incapacitation: revisiting an old question with a new method and new data. Journal of Quantitative Criminology, 23, 303–326.

    Article  Google Scholar 

  • Schaub, M., Stevens, A., Berto, D., Hunt, N., Kerschl, V., McSweeney, T., et al. (2010). Comparing outcomes of ‘Voluntary’ and ‘Quasi-compulsory’ treatment of substance dependence in Europe. European Addict Research, 60, 53–60.

    Article  Google Scholar 

  • Spelman, W. (2000). What recent studies do (and don’t) tell us about imprisonment and crime. Crime and Justice: A Review of Research, 27, 419–494.

    Article  Google Scholar 

  • Steffensmeier, D., & Allan, E. (1996). Gender and crime. Toward a gendered theory of female offending. In Annual Review of Sociology, 22, 459–487.

    Article  Google Scholar 

  • Stevens, A., Berto, D., Heckmann, W., Kerschl, V., Oeuvray, K., Van Ooyen-Houben, M. M. J., et al. (2005). Quasi-compulsory treatment of drug dependent offenders: an international literature review. Substance Use & Misuse, 40, 269–283.

    Article  Google Scholar 

  • Tollenaar, N., Meijer, R. F., Huijbregts, G. L. A. M., Blom, M., & el Harbachi, S. (2007). Monitor Veelplegers. Jeugdige en zeer actieve Veelplegers in Kaart gebracht. Den Haag: WODC.

    Google Scholar 

  • van Buuren, S. (2012). Flexible imputation of missing data. Boca Raton: Chapman & Hall/CRC.

    Book  Google Scholar 

  • Van Buuren, S., Boshuizen, C., & Knook, L. (1999). Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine, 18, 681–694.

    Article  Google Scholar 

  • Van der Geest, V. (2011). Working their way into adulthood. Delinquency and employment in high-risk boys to age 32. Dissertation, Free University Amsterdam

  • van Justitie, M. (2003). Plaatsing in een Inrichting voor Stelselmatige Daders. Tweede Kamer stukken (vergaderjaar 2002–2003) TK 28 980 nr. 3. Den Haag: Sdu Uitgevers.

    Google Scholar 

  • Versteegh, P., Janssen, J., & Bernasco, W. (2003). Beginners, doorstromers en veelplegers. Tijdschrift voor Criminologie, 45, 127–139.

    Google Scholar 

  • Vollaard, B. A. (2012). Preventing crime through selective incapacitation. The Economic Journal. doi:10.1111/j.1468-0297.2012.02522.x.

    Google Scholar 

  • Warner, T. D., & Kramer, J. H. (2009). Closing the revolving door? Substance abuse treatment as an alternative to traditional sentencing for drug-dependent offenders. Criminal Justice and Behavior, 36, 89–109.

    Article  Google Scholar 

  • Wermink, H., Apel, R., Nieuwbeerta, P., & Blokland, A. J. (2012). The incapacitation effect of first-time imprisonment: a matched samples comparison. Journal of Quantitative Criminology. doi:10.1007/s10940-012-9189-3.

    Google Scholar 

  • Wermink, H., Blokland, A., Nieuwbeerta, P., Nagin, D., & Tollenaar, N. (2010). Comparing the effects of community service and short-term imprisonment on recidivism: a matched samples approach. Journal of Experimental Criminology, 6, 325–349.

    Article  Google Scholar 

  • Wolfgang, M. E., Figlio, R. M., & Sellin, T. (1972). Delinaquency in a BirthCohort. Chicago: University of Chicago Press

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Correspondence to N. Tollenaar.

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A correction to this article is available online at https://doi.org/10.1007/s11292-017-9315-1.

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Appendix

Table 4 Coefficients of propensity score models of the probability of receiving ISD: ISD versus historicalor simultaneous controls

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Tollenaar, N., van der Laan, A.M. & van der Heijden, P.G.M. Effectiveness of a prolonged incarceration and rehabilitation measure for high-frequency offenders. J Exp Criminol 10, 29–58 (2014). https://doi.org/10.1007/s11292-013-9179-y

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