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South Carolina Sentencing Reform Commission Projecting the Impact of Our Proposed Reforms. John Speir, Ph.D. Applied Research Services, Inc. June 27, 2009. Defining a Projected Impact.
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South Carolina Sentencing Reform Commission Projecting the Impact of Our Proposed Reforms John Speir, Ph.D. Applied Research Services, Inc. June 27, 2009
Defining a Projected Impact “Designed not to predict what will happen… but rather explore what would happen if assumptions unfold in different ways...” Donella Meadows “Thinking in Systems: A Primer”, 2008
Why Forecast the Future? How Do We Know our Reforms will Work? • Conduct legislative & policy impact analyses • Assess the impact of resources on efficiency and operations
Projections… • Assess financial impact of agency, court, & legislative decisions
Simulation… • Answer “what if” questions • Can test every aspect of a proposed change • Can explore new policies or operating procedures without the expense & disruption of experimenting on the real system
Simulation… • Reduces the emotion associated with hard decisions • What is the probability associated with possible consequences? (also called a risk profile) • With uncertainty, policy-makers will invariably get different results with forecast
What is Micro-Simulation? • Actual offender records are read into the model: Past Admissions & Active Inmates • Inmate records are “re-built” based on policy scenario • Create a new sentence or LOS outcome for any policy group of interest
Flow of Offenders Through the Model Past Inmate Admissions 2008-09 What Do We Know? Uncertainty?? • Mandatory minimums • 2. Inmates who have already been released • Past institutional behavior and projected release date • Past Board Decisions • Past Institutional Conduct • Historical Sentencing & time-served • Future Admissions • Future Parole Board decisions • Future Institutional conduct among active • Inmates –with extended prison terms • Product failure (returns to prison) • Demographics • Prior History • Current Offense • Sentence Length • Geography • Parole Data • Admission Type • Etc.
Known Outcomes & Residual Uncertainty 85% - No Parole Mandatory Minimums Already Released Inmates Historical max out LOS for Short-term inmates Simulated Estimates Needed Future conduct for long stay inmates Board Decisions Change in Admissions: New Admits Or Revocations
How Do You Project Future Admissions? • History: SCDC Inmate Admits • 2005: 13,234 • 2006: 13,397 • 2007: 13,906 • 2008: 13,950
Future admissions are still a major uncertainty But We look for collateral data and methods/tools to help project the future (status quo)
What about proposals without any historical data? • Pennsylvania: High Speed chase law was split into two groups. • High Speed chase • High speed chase under the influence or involves an out-of-state pursuit
Review CCH or Sentencing Report • What percent (%) were charged/convicted of a DUI • What percent (%) occurred in out an out-of-state jurisdiction • We set up a range (35% to 45%) and ran the model hundreds of times to identify the most likely impact
Policy Scenarios & Policy Groups • What would happen if we could divert just 15% of the inmates with a specific offense and profile? • What would happen if we used the prison term instead of the total sentence to set the parole eligibility date?
Think in Terms of What-if Policy Scenarios & Policy Groups • Judges used a bench book summarizing state sentencing practices and judges sentenced just 30% of the sentences in the middle sentencing range? • What if we could divert simple drug users from prison?
Strategy • Create a status quo projection that take into account anticipated changes in prison admissions • Status quo projection serves as the baseline for all proposed reforms • (individually and collectively)
Strategy • Define the proposals and policy groups sufficiently to assign a cost estimate • Example: Driving under suspension would be a minimum security bed • Each proposal is evaluated using conservative estimates and is simulated hundreds of times using different error rates
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