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Can They Survive? : Predicting Criminal Recidivism among Parolees with Survival Analysis

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dc.contributor.advisor Owens, David M.
dc.contributor.author Mangelsdorf, Paul
dc.date.accessioned 2010-10-25T20:20:14Z
dc.date.available 2010-10-25T20:20:14Z
dc.date.issued 2010
dc.identifier.uri http://hdl.handle.net/10066/5982
dc.description.abstract In this paper I analyze the effects of individual characteristics on the probability of criminal recidivism among parolees using survival analysis. I use these probabilities to make predictions about whether or not individuals will commit crimes in the aftermath of their release. My predictions are more accurate than previous predictions of criminal recidivism, and a number of insights are gained into what characteristics affect recidivism and how those effects change with time.
dc.description.sponsorship Haverford College. Department of Economics
dc.language.iso eng
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/us/
dc.subject.lcsh Criminals -- Rehabilitation -- United States -- Statistics
dc.subject.lcsh Recidivism -- United States -- Statistics
dc.subject.lcsh Recidivism -- United States -- Statistical methods
dc.title Can They Survive? : Predicting Criminal Recidivism among Parolees with Survival Analysis
dc.type Thesis
dc.rights.access Haverford users only


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http://creativecommons.org/licenses/by-nc/3.0/us/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/3.0/us/

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