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Structural Covariates of U.S. County Homicide Rates

Incorporating Spatial Effects

Bibliographic Data

ID9680143
AuthorsRobert D Baller (University of Iowa), Luc Anselin (0000-0003-1076-2220, University of Illinois Urbana-Champaign), F Messner (0000-0003-2825-2616, University at Albany, State University of New York), Steven F Messner, Glenn Deane (University at Albany, State University of New York), Darnell F Hawkins (University of Illinois Chicago)
Year2001
Volume39
Issue3
Pages561-588
Publication date2001-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCriminology (JOURNAL)
Journal identifiersISSN: 0011-1384 • E-ISSN: 1745-9125
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1745-9125.2001.tb00933.x
OpenAlexW2096844058
LanguageEN
Citations received177
References cited37

Spatial analysis is statistically and substantively important for macrolevel criminological inquiry. Using county‐level data for the decennial years in the 1960 to 1990 time period, we reexamine the impact of conventional structural covariates on homicide rates and explicitly model spatial effects. Important findings are: (1) homicide is strongly clustered in space; (2) this clustering cannot be completely explained by common measures of the structural similarity of neighboring counties; (3) noteworthy regional differences are observed in the effects of structural covariates on homicide rates; and (4) evidence consistent with a diffusion process for homicide is observed in the South throughout the 1960–1990 period

Covariate · Econometrics · Economics · Environmental health · Geography · Homicide · Injury prevention · Poison control · Similarity (geometry · Sociology · Statistics · Computer Science · Crime Patterns and Interventions · Data-Driven Disease Surveillance · Demography · Mathematics · Medicine · Spatial and Panel Data Analysis

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Unique citing works177
Citations per year7,08
Citation span2001 - 2026 (26)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 174

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