An alternative approach to modeling recidivism using quantile residual life functions

An alternative approach to modeling recidivism using quantile residual life functions

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Article ID: iaor1993149
Country: United States
Volume: 40
Issue: 3
Start Page Number: 485
End Page Number: 504
Publication Date: May 1992
Journal: Operations Research
Authors: , ,
Keywords: probability, statistics: data envelopment analysis
Abstract:

Empirical estimates of quantile residual life functions can be employed effectively to obtain properties of recidivism and to help screen parametric mixture models. In this manner, the Burr model is demonstrated to be an appropriate model for characterizing recidivism. When applied to certain data, the model suggests that while the observed declining recidivism rate can be explained by population heterogeneity, individual recidivism rates may in fact be increasing. The quantile residual life function approach to modeling recidivism is applied to two often-referenced data sets, as well as to an extensive data set obtained from the state of New York which is new to the criminal justice literature.

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