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The Concentration and Stability of Gun Violence at Micro Places in Boston, 1980–2008

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TLDR
In this paper, the authors used growth curve regression models to uncover distinctive developmental trends in gun assault incidents at street segments and intersections in Boston over a 29-year period, and found that Boston gun violence is intensely concentrated at a small number of street segments, rather than spread evenly across the urban landscape between 1980 and 2008.
Abstract
Boston, like many other major U.S. cities, experienced an epidemic of gun violence during the late 1980s and early 1990s that was followed by a sudden large downturn in gun violence in the mid 1990s. The gun violence drop continued until the early part of the new millennium. Recent advances in criminological research suggest that there is significant clustering of crime in micro places, or “hot spots,” that generate a disproportionate amount of criminal events in a city. In this paper, we use growth curve regression models to uncover distinctive developmental trends in gun assault incidents at street segments and intersections in Boston over a 29-year period. We find that Boston gun violence is intensely concentrated at a small number of street segments and intersections rather than spread evenly across the urban landscape between 1980 and 2008. Gun violence trends at these high-activity micro places follow two general trajectories: stable concentrations of gun assaults incidents over time and volatile concentrations of gun assault incidents over time. Micro places with volatile trajectories represent less than 3% of street segments and intersections, generate more than half of all gun violence incidents, and seem to be the primary drivers of overall gun violence trends in Boston. Our findings suggest that the urban gun violence epidemic, and sudden downturn in urban gun violence in the late 1990s, may be best understood by examining highly volatile micro-level trends at a relatively small number of places in urban environments.

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References
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Journal ArticleDOI

Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy

TL;DR: Multilevel analyses showed that a measure of collective efficacy yields a high between-neighborhood reliability and is negatively associated with variations in violence, when individual-level characteristics, measurement error, and prior violence are controlled.
Book

Applied Longitudinal Data Analysis

TL;DR: In this paper, a framework for investigating change over time is presented, where the multilevel model for change is introduced and a framework is presented for investigating event occurrence over time.
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The Truly Disadvantaged

TL;DR: The Truly Disadvantaged as discussed by the authors examines the relationship between race, employment, and education from the 1950s to the 1990s, with surprising and provocative findings about the convergence of race and poverty.
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Econometric Models for Count Data with an Application to the Patents-R&D Relationship

TL;DR: This paper developed and adapted statistical models of counts (nonnegative integers) in the context of panel data and used them to analyze the relationship between patents and R&D expenditures. But their model is not suitable for the analysis of large-scale data sets.
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When Work Disappears

TL;DR: For the first time in the twentieth century most adults in many inner-city ghetto neighborhoods are not working in a typical week as mentioned in this paper and the disappearance of work has adversely affected not only individuals, families, and neighborhoods, but the social life of the city at large as well.
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