AN ALTERNATIVE APPROACH TO MODELING RECIDIVISM USING QUANTILE RESIDUAL LIFE FUNCTIONS
成果类型：
Article
署名作者：
ELLERMANN, R; SULLO, P; TIEN, JM
署名单位：
Rensselaer Polytechnic Institute
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.40.3.485
发表日期：
1992
页码：
485-504
关键词：
摘要：
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.