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An Analysis of Recidivism, Using the Truncated Lognormal Distribution

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  • Ann D. Witte
  • Peter Schmidt

Abstract

The timing of return to criminal activity is analysed for men who have been released from prison. The dependent variable analysed is the length of time between release and first arrest leading to a conviction; a truncated lognormal distribution was found to fit the data well. The results of the analysis are presented and related points considered.

Suggested Citation

  • Ann D. Witte & Peter Schmidt, 1977. "An Analysis of Recidivism, Using the Truncated Lognormal Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 302-311, November.
    • Handle: RePEc:bla:jorssc:v:26:y:1977:i:3:p:302-311
    DOI: 10.2307/2346971
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    Cited by:

    1. Schmidt, Peter & Witte, Ann Dryden, 1989. "Predicting criminal recidivism using 'split population' survival time models," Journal of Econometrics, Elsevier, vol. 40(1), pages 141-159, January.
    2. Peter Schmidt & Ann D. Witte, 1980. "Evaluating Correctional Programs," Evaluation Review, , vol. 4(5), pages 585-600, October.
    3. Howard S. Bloom, 1979. "Evaluating Human Service and Correctional Programs By Modeling the Timing of Recidivism," Sociological Methods & Research, , vol. 8(2), pages 179-208, November.
    4. Robert T. Holden, 1985. "Failure Time Models for Thinned Crime Commission Data," Sociological Methods & Research, , vol. 14(1), pages 3-30, August.
    5. Howard S. Bloom & Neil M. Singer, 1979. "Determining the Cost-Effectiveness of Correctional Programs," Evaluation Review, , vol. 3(4), pages 609-628, November.

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