Predicting recidivism of juvenile offenders

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Abstract

This study uses a large data set to analyze and predict recidivism of juvenile offenders in Pennsylvania. We employ a split-population duration model to determine the effect of covariates on (1) the probability of failure, defined as a second referral to juvenile court, and (2) the time to failure, given that it occurs. A test of the predictive power of our estimates finds a false positive rate of 18.5% and a false negative rate of 20.7%, which compares favorably to the performance of other models in the literature.

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APA

Kalist, D. E., Lee, D. Y., & Spurr, S. J. (2015). Predicting recidivism of juvenile offenders. B.E. Journal of Economic Analysis and Policy, 15(1), 329–351. https://doi.org/10.1515/bejeap-2013-0188

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