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INTEGRATING RACE, PLACE AND MOTIVE IN SOCIAL DISORGANIZATION THEORY: LESSONS FROM A COMPARISON OF BLACK AND LATINO HOMICIDE TYPES IN TWO IMMIGRANT DESTINATION CITIES *

INTEGRATING RACE, PLACE AND MOTIVE IN SOCIAL DISORGANIZATION THEORY: LESSONS FROM A COMPARISON OF... In this paper, we examine and compare the impact of social disorganization, including recent immigration, and other predictors on community counts of black and Latino motive‐specific homicides in Miami and San Diego. Homicides for 1985 to 1995 are disaggregated into escalation, intimate, robbery and drug‐related motives. Negative binomial regression models with corrections for spatial autocorrelation demonstrate that there are similarities and differences in effects of social disorganization and other predictors by motive‐specific outcomes, as well as for outcomes across ethnic groups within cities and within ethnic groups across cities. Recent immigration is negatively or not associated with most outcomes. Overall, the study shows the importance of disaggregating homicide data by race/ethnicity and motive and demonstrates that predictions based on existing theories are qualified on local conditions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Criminology Wiley

INTEGRATING RACE, PLACE AND MOTIVE IN SOCIAL DISORGANIZATION THEORY: LESSONS FROM A COMPARISON OF BLACK AND LATINO HOMICIDE TYPES IN TWO IMMIGRANT DESTINATION CITIES *

Criminology , Volume 43 (3) – Aug 1, 2005

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References (46)

Publisher
Wiley
Copyright
Copyright © 2005 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0011-1384
eISSN
1745-9125
DOI
10.1111/j.0011-1348.2005.00025.x
Publisher site
See Article on Publisher Site

Abstract

In this paper, we examine and compare the impact of social disorganization, including recent immigration, and other predictors on community counts of black and Latino motive‐specific homicides in Miami and San Diego. Homicides for 1985 to 1995 are disaggregated into escalation, intimate, robbery and drug‐related motives. Negative binomial regression models with corrections for spatial autocorrelation demonstrate that there are similarities and differences in effects of social disorganization and other predictors by motive‐specific outcomes, as well as for outcomes across ethnic groups within cities and within ethnic groups across cities. Recent immigration is negatively or not associated with most outcomes. Overall, the study shows the importance of disaggregating homicide data by race/ethnicity and motive and demonstrates that predictions based on existing theories are qualified on local conditions.

Journal

CriminologyWiley

Published: Aug 1, 2005

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