Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation
Dipankar Bandyopadhyay, Debajyoti Sinha, Stuart Lipsitz, Elizabeth, Letourneau

TL;DR
This study uses Bayesian analysis of longitudinal data to evaluate how prosecutors' decisions towards juvenile repeat sex-offenders changed after new mandatory registration policies between 1992 and 1996.
Contribution
It introduces a Bayesian change-point model to analyze judicial decision patterns over time, accounting for youth-specific effects and policy impacts.
Findings
Identifies whether a change-point occurred between 1992 and 1996.
Estimates the effects of the change-point and other factors on prosecutors' decisions.
Provides probabilistic conclusions about the timing and magnitude of decision pattern changes.
Abstract
Existing state-wide data bases on prosecutors' decisions about juvenile offenders are important, yet often un-explored resources for understanding changes in patterns of judicial decisions over time. We investigate the extent and nature of change in judicial behavior toward juveniles following the enactment of a new set of mandatory registration policies between 1992 and 1996 via analyzing the data on prosecutors' decisions of moving forward for youths repeatedly charged with sexual violence in South Carolina. To analyze this longitudinal binary data, we use a random effects logistic regression model via incorporating an unknown change-point year. For convenient physical interpretation, our models allow the proportional odds interpretation of effects of the explanatory variables and the change-point year with and without conditioning on the youth-specific random effects. As a…
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