Citation

Tseloni A, Ntzoufras I, Nicolaou A, Pease K. Eur. J. Appl. Math. 2010; 21(Special Double Issue 4-5): 325-348.

Copyright

(Copyright © 2010, Cambridge University Press)

DOI

10.1017/S0956792510000057

PMID

unavailable

Abstract

Crime is disproportionally concentrated in few areas. Though long established, there remains uncertainty about the reasons for variation in the concentration of similar crime (repeats) or different crime (multiples). Wholly neglected have been composite crimes when more than one crime types coincide as parts of a single event. The research reported here disentangles area crime concentration into repeats, multiple and composite crimes. The results are based on estimated bivariate zero-inflated Poisson regression models with covariance structure which explicitly account for crime rarity and crime concentration. The implications of the results for criminological theorizing and as a possible basis for more equitable police funding are discussed.