Loading...
Please wait, while we are loading the content...
Similar Documents
Projecting prison populations with SAS® simulation studio
| Content Provider | Semantic Scholar |
|---|---|
| Author | Day, Jeffrey Dale Aral, Bahadir Lada, Emily Hevener, Ginny M. Flinchum, Tamara R. |
| Copyright Year | 2013 |
| Abstract | The majority of the states in the USA have a process to project prison populations for the purpose of planning adequate capacity. Typical time series methods are ineffective because they do not take into account factors like sentence length, prior criminal history, revocations of community supervision, and legislative changes. Discrete event simulation has proven to be a viable alternative. The North Carolina Sentencing and Policy Advisory Commission collaborated with SAS to build a model in SAS Simulation Studio that projects the number of prison beds needed for the next ten years. The model uses current prison population data, recent court convictions, revocations of community supervision, and estimates of growth to play out the admissions and releases of inmates over the time horizon of the model. The prison projections are updated by the Sentencing Commission on an annual basis. |
| Starting Page | 3919 |
| Ending Page | 3919 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://support.sas.com/resources/papers/proceedings13/155-2013.pdf |
| Journal | WSC '13 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
