Demography, foreclosure, and crime:
AbstractThe present research evaluates the possibility of spatial heterogeneity in the effects on neighborhood crime rates of both traditional demographic indicatorsâ€”immigrant concentration, racial composition, socioeconomic disadvantage, and residential instabilityâ€”and a contemporary aspect of housing transitionâ€”foreclosure ratesâ€”that has garnered significant attention in recent scholarship. Geographically weighted regression results indicate significant variation across Chicago census tracts in the estimates of logged percent black, immigrant context, and foreclosure for both robbery and burglary rates. The observed effects of socioeconomic disadvantage on robbery rates and residential stability on burglary rates also are found to vary across local neighborhood clusters in Chicago. Visual inspection of these effects illuminates the importance of supplementing current approaches by â€œthinking locallyâ€ when developing theoretical explanations and empirical models of how demographic context shapes crime rates.
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Bibliographic InfoArticle provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.
Volume (Year): 26 (2012)
Issue (Month): 18 (May)
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Web page: http://www.demogr.mpg.de/
demographic context and crime; foreclosure and crime; geographically weighted regression;
Find related papers by JEL classification:
- J1 - Labor and Demographic Economics - - Demographic Economics
- Z0 - Other Special Topics - - General
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- David Wheeler & Lance Waller, 2009. "Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests," Journal of Geographical Systems, Springer, vol. 11(1), pages 1-22, March.
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