A method for analyzing changing prison populations: Explaining the growth of the elderly in prison
Article
August 15, 2014
Objective: This paper presents a method for evaluating drivers influencing the change in age distributions among prisoners.
Method: We define a methodological approach and demonstrate its application using prison data from four states reporting to the Bureau of Justice Statistics’ National Corrections Reporting Program.
Results: We find that since 2000, the primary driver of overall growth in the elderly populations in prison (defined as inmates over 50) is the increasing admission age of offenders entering prison. Moreover, changes in offense mix and sentence length/time-served over the last decade have had significantly less influence on the age composition of prison populations. We also find that the impact of explanatory factors varies across states and offense types. For example, prison admission and exit rates explain much of the change in elderly drug offenders in New York, but not elderly violent offenders, where admission age plays a much stronger explanatory role.
Conclusion: Our analysis offers an effective demonstration that supports the use of this method as an important and informative first step toward understanding components of change affect the problem of prison aging.
Method: We define a methodological approach and demonstrate its application using prison data from four states reporting to the Bureau of Justice Statistics’ National Corrections Reporting Program.
Results: We find that since 2000, the primary driver of overall growth in the elderly populations in prison (defined as inmates over 50) is the increasing admission age of offenders entering prison. Moreover, changes in offense mix and sentence length/time-served over the last decade have had significantly less influence on the age composition of prison populations. We also find that the impact of explanatory factors varies across states and offense types. For example, prison admission and exit rates explain much of the change in elderly drug offenders in New York, but not elderly violent offenders, where admission age plays a much stronger explanatory role.
Conclusion: Our analysis offers an effective demonstration that supports the use of this method as an important and informative first step toward understanding components of change affect the problem of prison aging.
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