Abstract
A neighborhood-level model of crime that connects the central dimensions of social capital with specific forms of social control is developed. The proposed model is tested using a structural equation model that predicts changes in empirical Bayes log odds of neighborhood victimization rates between 2000 and 2001 in 41 neighborhoods in South Carolina. Results support the integrated model and illustrate the importance of including direct measures of social control in neighborhood models of crime. Although the dimensions of social capital are related to private, parochial, and public controls, the relationships among these concepts are not consistent. Instead, the relationships vary in strength and direction.
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