Multilevel modeling of the number of property crimes: household and area effects

Tseloni, A. ORCID: 0000-0002-6443-7012, 2006. Multilevel modeling of the number of property crimes: household and area effects. Journal of the Royal Statistical Society: Series A (Statistics in Society), 169 (2), pp. 205-233. ISSN 0964-1998

[img]
Preview
Text
196368_393 Tseloni Preprint.pdf

Download (356kB) | Preview

Abstract

This study examines household and area effects on the incidence of total property crimes and burglaries and thefts. It uses data from the 2000 British Crime Survey and the 1991 Census Small Area Statistics. Results are obtained from estimated random effects multilevel models, with an assumed negative binomial distribution of the dependent variable. Both household and area characteristics, as well as selected interactions, explain a significant portion of the variation in property crimes. There are also a large number of significant between area random variances and covariances of household characteristics. The estimated fixed and random effects may assist in advancing victimisation theory. The methods have potential for developing a better understanding of factors that give rise to crime and so assist in framing crime prevention policy.

Item Type: Journal article
Publication Title: Journal of the Royal Statistical Society: Series A (Statistics in Society)
Creators: Tseloni, A.
Publisher: The Royal Statistical Society (Blackwell Publishing)
Date: 2006
Volume: 169
Number: 2
ISSN: 0964-1998
Rights: © 2006 The Royal Statistical Society and Blackwell Publishing Ltd. The definitive version is available at www.blackwell-synergy.com.
Divisions: Schools > School of Social Sciences
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:01
Last Modified: 09 Jun 2017 13:16
URI: http://irep.ntu.ac.uk/id/eprint/6384

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year