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Social and Behavioral Sciences Commons

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Urban Studies and Planning

Wayne State University

Series

Neighborhoods

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Home Foreclosures And Neighborhood Crime Dynamics, Sonya Williams, George Galster, Nandita Verma Apr 2014

Home Foreclosures And Neighborhood Crime Dynamics, Sonya Williams, George Galster, Nandita Verma

Urban Studies and Planning Faculty Research Publications

We advance scholarship related to home foreclosures and neighborhood crime by employing Granger causality tests and multilevel growth modeling with annual data from Chicago neighborhoods over the 1998-2009 period. We find that completed foreclosures temporally lead property crime and not vice versa. More completed foreclosures during a year both increase the level of property crime and slow its decline subsequently. This relationship is strongest in higher-income, predominantly renter-occupied neighborhoods, contrary to the conventional wisdom. We did not find unambiguous, uni-directional causation in the case of violent crime and when filed foreclosures were analyzed.


The Disparate Neighborhood Impacts Of The Great Recession: Evidence From Chicago, Sonya Williams, George C. Galster, Nandita Verma Jun 2013

The Disparate Neighborhood Impacts Of The Great Recession: Evidence From Chicago, Sonya Williams, George C. Galster, Nandita Verma

Urban Studies and Planning Faculty Research Publications

We advance scholarship about how macroeconomic forces differentially manifest themselves across local spaces by developing a holistic conceptual framework and empirical analyses involving multilevel change modeling. Unlike prior work, we examine differential rates of change in neighborhood indicators. We illustrate our approach with Chicago data measuring the crime, housing, and economic domains of neighborhood quality- of-life over the 2000-2009 period. We find that the local dynamic manifestations of macroeconomic cycles were far more nuanced than have been previously observed. Neighborhood indicators moved along distinct trajectories, sometimes but not necessarily tracking each other or the overall business cycle, and they changed …