Block, tract, and levels of aggregation: Neighborhood structure and crime and disorder as a case in point

被引:277
作者
Hipp, John R. [1 ]
机构
[1] Univ Calif Irvine, Dept Criminol Law & Soc, Irvine, CA 92697 USA
关键词
D O I
10.1177/000312240707200501
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
This article highlights the importance of considering the proper level of aggregation when estimating neighborhood effects. Using a unique nonrural subsample from a large national survey (the American Housing Survey) at three time points that allows placing respondents in blocks and census tracts, this study tests the appropriate level of aggregation of the structural characteristics hypothesized to affect block-level perceptions of crime and disorder I find that structural characteristics differ in their effects based on the level of aggregation employed. While the effects of racial/ethnic heterogeneity are fairly robust to the geographical level of aggregation, the stronger effects, when measured at the level of the surrounding census tract, suggest more dispersed networks are important for perceived crime and disorder. In contrast, economic resources only show a localized effect when aggregating to the block-level and differ based on the outcome; higher average income reduces disorder but increases crime, most likely by increasing the number of attractive targets. Additionally, the presence of broken households has a localized effect for social disorder but a more diffuse effect for perceived crime. These findings suggest the need for neighborhood studies of crime rates, as well as the broader neighborhood effects literature, to consider the mechanisms involved when aggregating various structural characteristics.
引用
收藏
页码:659 / 680
页数:22
相关论文
共 83 条
[1]  
ADAMS RE, 1992, J COMMUNITY PSYCHOL, V20, P353, DOI 10.1002/1520-6629(199210)20:4<353::AID-JCOP2290200409>3.0.CO
[2]  
2-Z
[3]   Random-effects modeling of categorical response data [J].
Agresti, A ;
Booth, JG ;
Hobert, JP ;
Caffo, B .
SOCIOLOGICAL METHODOLOGY 2000, VOL 30, 2000, 30 :27-80
[4]   ESTIMATION OF PARETOS LAW FROM GROUPED OBSERVATIONS [J].
AIGNER, DJ ;
GOLDBERG.AS .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1970, 65 (330) :712-723
[5]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[6]   Joblessness, family disruption, and violent death in Chicago, 1970-90 [J].
Almgren, G ;
Guest, A ;
Immerwahr, G ;
Spittel, M .
SOCIAL FORCES, 1998, 76 (04) :1465-1493
[7]   The impact of community-level variables on individual-level - Outcomes theoretical results and applications [J].
Angeles, G ;
Guilkey, DK ;
Mroz, TA .
SOCIOLOGICAL METHODS & RESEARCH, 2005, 34 (01) :76-121
[8]   The effects of neighborhood conditions on perceptions of safety [J].
Austin, DM ;
Furr, LA ;
Spine, M .
JOURNAL OF CRIMINAL JUSTICE, 2002, 30 (05) :417-427
[9]   SOCIAL DETERMINANTS OF NEIGHBORHOOD ATTACHMENT [J].
AUSTIN, DM ;
BABA, Y .
SOCIOLOGICAL SPECTRUM, 1990, 10 (01) :59-78
[10]   Social interaction and community crime: Examining the importance of neighbor networks [J].
Bellair, PE .
CRIMINOLOGY, 1997, 35 (04) :677-703