Social interaction and the spatial concentration of criminality

Thomas Graaff (), Jan Rouwendal, Wim Bernasco and Wouter Steenbeek

ERSA conference papers from European Regional Science Association

Abstract: It has often been observed that there is substantial spatial variation in criminality, i.e. criminality clusters in neighborhoods. Differences in neighborhood characteristics are one possible reason, social interactions another. In this paper we use detailed data on the residential location of criminals to disentangle the effects of individual characteristics, neighborhood characteristics and social interaction on criminality. Our basic model is an individual binomial logit model for the probability of being a criminal which we use to extract neighborhood effects. In a second stage, we model neighborhood effects, where we use as explanatory variables physical and social neighborhood characteristics such as characteristics of the housing stock and the demographic composition. We also include the share of criminals to be able to measure a social interaction effect. Note that this approach takes into account unobserved neighborhood characteristics. Since these may affect the criminality rate we instrument for this variable in a two stage estimation procedure.

Date: 2012-10
New Economics Papers: this item is included in nep-soc
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www-sre.wu.ac.at/ersa/ersaconfs/ersa12/e120821aFinal00636.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa12p634

Access Statistics for this paper

More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().