Predicting Criminal Recidivism Using "Split Population" Survival Time Models
Peter Schmidt and
Ann Dryden Witte
No 2445, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
In 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.
Date: 1987-11
Note: LS
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)
Published as Journal of Econometrics, Vol. 40, No. 1, (January 1989).
Downloads: (external link)
http://www.nber.org/papers/w2445.pdf (application/pdf)
Related works:
Journal Article: Predicting criminal recidivism using 'split population' survival time models (1989) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:2445
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w2445
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().