Predicting Criminal Recidivism Using "Split Population" Survival Time Models
AbstractIn this paper we develop a survival time model in which the probability of eventual failure is less than one, and in which both the probability of eventual failure and the timing of failure depend (separately) on individual characteristics. We apply this model to data on the tiring of return to prison for a sample of prison releasees, and we use it to make predictions of whether or not individuals return to prison. Our predictions are more accurate than previous predictions of criminal recidivism. The model we develop has potential applications in economics: far example, it could tie used to model the probability of default and the timing of default on loans.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 2445.
Date of creation: Feb 1989
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Other versions of this item:
- 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.
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- Goldfeld, Stephen M. & Quandt, Richard E., 1981. "Econometric modelling with non-normal disturbances," Journal of Econometrics, Elsevier, vol. 17(2), pages 141-155, November.
- Hoffman, Peter B. & Stone-Meierhoefer, Barbara, 1979. "Post release arrest experiences of federal prisoners: A six-year follow-up," Journal of Criminal Justice, Elsevier, vol. 7(3), pages 193-216.
- Boyes, William J. & Hoffman, Dennis L. & Low, Stuart A., 1989. "An econometric analysis of the bank credit scoring problem," Journal of Econometrics, Elsevier, vol. 40(1), pages 3-14, January.
- Kiefer, Nicholas M., 1985. "Specification diagnostics based on Laguerre alternatives for econometric models of duration," Journal of Econometrics, Elsevier, vol. 28(1), pages 135-154, April.
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