Prison Crowding and Violent Misconduct

Jonathan Kurzfeld
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引用次数: 4

Abstract

In recent years justice reform has been a popular bipartisan topic in U.S. politics, with reducing the burgeoning U.S. prison population as one of the primary goals. The first objective of this research is to estimate the causal relationship between prison crowdedness and prison violence that is essential to understanding the impacts of having severely overcrowded prisons as well as efforts to reduce such crowding. I exploit exogenous variation in California prison populations, resulting from a Supreme Court mandate to reduce prison crowding, to estimate this relationship. Using both difference-in-difference and instrumental variable identification strategies, I identify a significant positive effect robust to a variety of model specifications. The estimates suggest that reducing prison crowding by 10 percentage points leads to a reduction in the rates of assaults and batteries by 15% or more. These estimates of the relationship between prison crowding and violent misconduct are, to my knowledge, the first in the literature with a justifiable argument for causality. The second objective of this research is to explain the paucity of empirical evidence to support the widely held belief among correctional policy makers and practitioners that there is a positive causal relationship between prison crowding and violence. A simple reduced form model is presented which recognizes that population shocks inevitably change both crowdedness and the composition of the prison population, assuming some heterogeneity in inmates’ baseline propensities toward violence. Failure to account for this can bias estimates towards zero. Although the estimation strategy used in this paper does not directly control for compositional changes, I provide persuasive evidence towards the presence of a compositional effect. The estimates provided are therefore a lower bound on the true effect of crowding on violence.
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监狱拥挤和暴力行为
近年来,司法改革一直是美国两党政治的热门话题,减少美国不断增长的监狱人口是主要目标之一。本研究的第一个目标是估计监狱拥挤与监狱暴力之间的因果关系,这对于理解监狱严重拥挤的影响以及减少这种拥挤的努力至关重要。我利用加州监狱人口的外生变异来估计这种关系,这是由最高法院下令减少监狱拥挤造成的。使用差异中的差异和工具变量识别策略,我确定了对各种模型规格具有鲁棒性的显著正效应。据估计,监狱拥挤程度每降低10个百分点,袭击和殴打事件的发生率就会降低15%甚至更多。据我所知,这些对监狱拥挤和暴力不当行为之间关系的估计,是文献中第一次对因果关系进行合理论证。本研究的第二个目标是解释缺乏经验证据来支持惩教政策制定者和从业人员普遍持有的信念,即监狱拥挤与暴力之间存在积极的因果关系。提出了一个简单的简化形式模型,该模型承认人口冲击不可避免地改变了监狱人口的拥挤程度和构成,假设囚犯的基线暴力倾向存在一些异质性。如果不能考虑到这一点,估计可能会偏向于零。虽然本文中使用的估计策略不能直接控制组成变化,但我为组成效应的存在提供了有说服力的证据。因此,所提供的估计数是拥挤对暴力的真实影响的下限。
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