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Commuting for Crime

Authors: Tom Kirchmaier; Monica Langella; Alan Manning;

Commuting for Crime

Abstract

Abstract People care about crime, with the spatial distribution of both actual and perceived crime affecting the local amenities from living in different areas and residential decisions. The literature finds that crime tends to happen close to the offender's residence, but does not clearly establish whether this is because the location of likely offenders and crime opportunities are close to each other, whether more local crimes are likely to be solved or whether there is a high commuting cost for criminals. We use a rich administrative dataset from one of the biggest UK police forces to disentangle these hypotheses, proposing a procedure for controlling for the selection bias induced by the fact that an offender’s location is only known when they are caught. We find that the cost of distance is very high, especially for crimes without any financial gain. For property crimes, we find a similar cost of distance to commuting for legal work. We also investigate how local socio-economic characteristics affect both the number of criminals and the number of crimes.

Country
Italy
Keywords

Commuting, Crime

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
Green
hybrid