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  NCJ Number: NCJ 205910   Add to Shopping cart   Find in a Library
  Title: Robust Spatial Analysis of Rare Crimes
  Document URL: PDF 
  Dataset URL: DATASET 1
  Author(s): Avinash Singh Bhati
  Corporate Author: The Urban Institute
United States of America
  Date Published: 03/2004
  Page Count: 73
  Annotation: This paper reports on a project that developed an analytical framework to be used for robust analysis of rare crimes typically observed at local (intra-city) levels of areal aggregation.
  Abstract: As indicated in the first chapter, real-world problems such as discrete outcomes, finite samples, ill-conditioned data, spatial clustering, ill-measured regressors, etc., all preclude a simple adoption of the standard Ordinary Least Squares framework with its associated spatial-analytical toolkit. The second chapter of this report describes the semiparametric information-theoretic framework that achieves this goal. A second goal of this project was to examine and report on the extent to which structural and socioeconomic determinants of various kinds of violence (the disaggregated homicide types) may be distinct, as well as whether these findings persist at different (intra-city) levels of areal aggregation. The analysis was conducted on disaggregated homicide counts (1989-91) recorded in Chicago's census tracts and neighborhood clusters by using explanatory factors obtained from census sources. The research sought to determine how the socioeconomic and demographic characteristics in an area affect the amount of violence that community can expect to have, whether the links are violence-type-specific, and whether these links are areal aggregation level-specific. Given the explicit spatial nature of the data required to answer these questions, they must be examined in the presence of possibly spatially dependent errors. The information-theoretic approach developed in this project is used for this purpose. A final question addressed by this project is whether the inferences derived from the analysis would have been qualitatively different had the possible spatial structure in the errors been ignored and been qualitatively different had the possible spatial structure in the errors been ignored and traditional nonspatial modeling strategies been used. The data used to examine these issues are presented in the third chapter of this report, with findings discussed in the fourth chapter. The concluding chapter discusses the implications of this research and profiles promising extensions of the proposed analytical framework. The merits and limitations of the methodology are also addressed. 53 references
  Main Term(s): Criminology
  Index Term(s): Economic influences ; Statistical analysis ; Research methods ; Models ; Geographic distribution of crime ; Homicide causes ; Violence causes ; NIJ grant-related documents ; Illinois
  Sponsoring Agency: National Institute of Justice (NIJ)
US Department of Justice
Office of Justice Programs
United States of America
  Grant Number: 2002-IJ-CX-0006
  Sale Source: The Urban Institute
2100 M Street, N.W.
Washington, DC 20037
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
  Type: Report (Study/Research)
  Country: United States of America
  Language: English
  Note: See NCJ-205909 for the executive summary.
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=205910

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