Why disadvantaged neighborhoods are more attractive targetsfor burgling than wealthy ones

Despite concerns about crime among the wealthy and middle-class, crime is much more prevalent in poor inner-city neighborhoods than in better off suburbs. In new research, Alyssa W. Chamberlain and Lyndsay N. Boggess explore why wealthier neighborhoods have lower burglary rates – after all, they are more likely to possess more valuable goods. They find that burglars from poorer areas are more likely to target neighborhoods more disadvantaged than their own. They write that not only are wealthier neighborhoods more likely to be further away, increasing the risks for potential burglars; they are also likely to be more socially connected. More disadvantaged neighborhoods, on the other hand, are more likely to be less socially cohesive, making it easier for burglars to remain anonymous

Violent Crime, Residential Instability and Mobility: Does the Relationship Differ in Minority Neighborhoods?

This study examines the reciprocal relationship between violent crime and residential stability in neighborhoods. We test whether the form of stability matters by comparing two different measures of stability: a traditional index of residential stability and a novel approach focusing specifically on the stability of homeowners. We also examine whether the racial/ethnic composition of the neighborhood in which this stability occurs affects the instability—violent crime relationship. To test the simultaneous relationship between residential mobility and crime we estimate a dual multivariate latent curve model of the change in the violent crime rate and the change in the rate of home sales while controlling for neighborhood socioeconomic and demographic characteristics using data from Los Angeles between 1992 and 1997. Results indicate that the initial level of violent crime increases the trajectory of residential instability in subsequent years, whether the instability is measured as homeowner turnover specifically, or based on an index of all residents. However, the effect of instability on violent crime is only apparent when measuring instability based on an index of general residential turnover and not when including the presence of owners in this measure, or when measuring it based on homeowner turnover. We consistently find that stable highly Latino communities exhibit a protective effect against violence

Violent Crime, Residential Instability and Mobility: Does the Relationship Differ in Minority Neighborhoods?

This study examines the reciprocal relationship between violent crime and residential stability in neighborhoods. We test whether the form of stability matters by comparing two different measures of stability: a traditional index of residential stability and a novel approach focusing specifically on the stability of homeowners. We also examine whether the racial/ethnic composition of the neighborhood in which this stability occurs affects the instability—violent crime relationship. To test the simultaneous relationship between residential mobility and crime we estimate a dual multivariate latent curve model of the change in the violent crime rate and the change in the rate of home sales while controlling for neighborhood socioeconomic and demographic characteristics using data from Los Angeles between 1992 and 1997. Results indicate that the initial level of violent crime increases the trajectory of residential instability in subsequent years, whether the instability is measured as homeowner turnover specifically, or based on an index of all residents. However, the effect of instability on violent crime is only apparent when measuring instability based on an index of general residential turnover and not when including the presence of owners in this measure, or when measuring it based on homeowner turnover. We consistently find that stable highly Latino communities exhibit a protective effect against violence

A New Twist on an Old Approach: A Random-Interaction Approach for Estimating Rates of Inter-Group Interaction

"There are numerous instances in which researchers wish to measure the rate of intra- or inter-group interactions (whether positive or negative).  When computing such measures as rates there is great uncertainty regarding the appropriate denominator:  we analytically illustrate how the choice of the denominator when calculating such rates is not trivial and that some existing strategies create a built-in relationship between the computed rate and the group composition within the entity.  Another strand of prior work only focused on the relative occurrence of intra- versus inter-group events, which does not account for the important theoretical possibility that both types of events might increase in certain social contexts.  Our approach provides an advance over these earlier strategies as it allows taking into account the relative frequency of interaction between members of different groups, but then translates this into per capita rates.  We also provide an empirical example using data on inter- and intra-group robbery and aggravated assault events for block groups in a section of the city of Los Angeles to illustrate how our procedure works and to illustrate how other approaches can appear to imply dramatically different conclusions.