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Spatial Contagion of Male Juvenile Drug Offending Across Socioeconomically Homogeneous Neighborhoods

机译:社会经济均匀邻近男性少年药物的空间传染

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This research investigates the influence of spatial contagion and neighborhood socioeconomic character on drug offense juvenile delinquency and recidivism among urban male youth. For this purpose we use a data set of all juvenile delinquents sentenced to court-ordered programs in Philadelphia, Pennsylvania from 1996 to 2003. U.S. Bureau of the Census data are used to capture various dimensions of socioeconomic character, including concentrated disadvantage, ethnicity, and residential mobility. A regionalization algorithm is used to generate neighborhood boundaries that maximize within-unit socioeconomic homogeneity while preserving large counts of juveniles so that reliable rates of drug offense delinquency may be calculated. Ordinary least squares (OLS) regression and spatial econometric modeling are employed to model the effects of neighborhood socio-economic character and, where appropriate, spatial contagion, on delinquency, drug offense delinquency, and repeat drug offense delinquency outcomes. Results indicate that concentrated disadvantage enhances not only delinquency generally but also drug delinquency and repeat drug delinquency. In addition, modeled drug delinquency indicates spatial contagion among neighborhoods, while controlling for the influence of concentrated disadvantage, providing evidence for cross-neighborhood peer contagion.
机译:本研究调查了空间传染和邻里社会经济特征对城市男性青少年药物犯罪少年犯犯罪的影响。为此目的,我们使用1996年至2003年的宾夕法尼亚州宾夕法尼亚州宾夕法尼亚州宾夕法尼亚州的所有青少年违法行为的数据集。美国人口普查数据的美国局用于捕捉社会经济特征的各种维度,包括集中的劣势,种族和住宅移动。区域化算法用于生成邻域边界,以最大化在单元内的社会经济均匀性,同时保持大计的少数,以便可以计算药物犯罪犯罪的可靠速率。普通的最小二乘(OLS)回归和空间计量造型用于模拟邻里社会经济特征的影响,并在适当的空间传染情况下犯罪,滥用药物犯罪犯罪和重复犯罪犯罪犯罪结果。结果表明,集中的缺点不仅违反犯罪,而且还具有滥用犯罪和重复吸毒犯罪。此外,建模的毒品犯罪表明街区之间的空间传染,同时控制集中缺点的影响,为跨街区同伴传染提供了证据。

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