Alabama Sentencing Simulation Model, 1998-2003

Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama Department of Corrections relied on percent growth models, using the existing prison population to forec...

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Bibliographic Details
Main Author: Speir, John (Author)
Contributors: Flynt, Lynda (Contributor) ; Morrison, Melisa (Contributor) ; Wright, Bennet (Contributor)
Format: Electronic Research Data
Language:English
Published: [Erscheinungsort nicht ermittelbar] [Verlag nicht ermittelbar] 2014
In:Year: 2014
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway
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Summary:Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama Department of Corrections relied on percent growth models, using the existing prison population to forecast future statewide prison populations. As Alabama moved toward a structured sentencing system, more precision was needed to investigate the impact statewide sentencing reform would have on the prison population. Adding to the need for more precise forecast methods, the Alabama Sentencing Commission intended to incorporate Virginia worksheet-style sentencing guidelines into its sentencing reform efforts. The Virginia sentencing guidelines uses offender and offense factors identified with statistical models and weights to guide sentence recommendations. Alabama require an analytical tool to guide the Commission during development of such a complicated sentencing system. To shepherd this process, the simulation model development project was undertaken which consisted of three phases;<ul><li>The development of a baseline projection of current practices for later comparison with projections made following implementation of the sentencing standards;</li><li>Incorporating the initial sentencing standards into the simulation model; and</li><li> Integrating disparate modules together into a user-friendly model interface.</li></ul>
DOI:10.3886/ICPSR34671.v1