Abstract
The central purpose of this article is to examine the causal relationship between the percentage of homeowners in a neighborhood and city and crime rates. A cross-lag analysis is used for the years of 1980 and 1990. The analysis focuses both on the 100 largest cities in the United States and neighborhoods in Middle Atlantic City (pseudonym). The analysis of the data suggests that crime rates influence the percentage of homeowners more than homeownership deters crimes. The effects are most pronounced in higher-income neighborhoods. However, at the neighborhood level, the relationships are stronger, and there is evidence in support of the tipping and trapping phenomena.
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