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Evaluating Correctional Programs

Author

Listed:
  • Peter Schmidt

    (Michigan State University)

  • Ann D. Witte

    (University of North Carolina at Chapel Hill)

Abstract

In this article, we develop a model of the length of time until recidivism, and estimate it on a sample of releasees from the North Carolina prison system. Evidence of the model's predictive accuracy is presented. The model is then used to evaluate a correctional program by comparing the actual time until recidivism of program participants to that predicted by the model. The program appears to be effective only in the very short run.

Suggested Citation

  • Peter Schmidt & Ann D. Witte, 1980. "Evaluating Correctional Programs," Evaluation Review, , vol. 4(5), pages 585-600, October.
    • Handle: RePEc:sae:evarev:v:4:y:1980:i:5:p:585-600
    DOI: 10.1177/0193841X8000400502
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Amemiya, Takeshi & Boskin, Michael J, 1974. "Regression Analysis when the Dependent Variable is Truncated Lognormal, with an Application to the Determinants of the Duration of Welfare Dependency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 485-496, June.
    3. Stephen Stollmack & Carl M. Harris, 1974. "Failure-Rate Analysis Applied to Recidivism Data," Operations Research, INFORMS, vol. 22(6), pages 1192-1205, December.
    4. 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.
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