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Panel: Correctional Interventions: Patterns, Profiles and Post-Release Outcomes
(Crime and Drugs)

Thursday, November 12, 2015: 8:30 AM-10:00 AM
Johnson I (Hyatt Regency Miami)

*Names in bold indicate Presenter

Panel Organizers:  Sarah Tahamont, University at Albany - SUNY
Panel Chairs:  Aaron Chalfin, University of Chicago
Discussants:  Emily Owens, University of Pennsylvania and Tom Loughran, University of Maryland


Meeting the Mental Health Care Needs of the Realignment Population: Estimating Their Health Profiles and Eligibility for Medicaid Under Health Care Reform
Lois Davis1, Susan Turner2, Malcolm Williams1, Russell Lundberg1 and Dan Han3, (1)RAND Corporation, (2)University of California, Irvine, (3)Pardee RAND Graduate School



The Effect of California's Public Safety Realignment on Recidivism
Ryken Grattet, University of California, Davis, Mia Bird, University of California, Berkeley and Sonya Tafoya, Public Policy Institute of California



Exploring Longitudinal Patterns of Prison Visits in New York State
Audrey Hickert, Sarah Tahamont and Shawn Bushway, University at Albany - SUNY



Closer to Home: Estimating the Causal Effect of Prison Visits on Recidivism
Sarah Tahamont and Shawn Bushway, University at Albany - SUNY


The papers on this panel use diverse methodological approaches to consider the patterns and effects that correctional interventions have on inmate populations. All of the authors bring novel data from large state prison systems to bear on questions relevant to correctional policy. The authors use self-reported survey data to develop mental health profiles and estimate Medicaid eligibility under the Affordable Care Act for different realignment populations in California and linked individual-level data from multiple jurisdictions to estimate the effect of California’s realignment policies on recidivism with particular focus on correctional interventions like “flash” incarceration and split-sentencing. Papers will also explore patterns of prison visitation over time using a longitudinal data set from New York prisons, as well as econometric estimation to derive causal estimates of the effect of prison visits on recidivism for a group of male, medium security inmates in New York.
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