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The Statistical Analysis of Crime Data at Street Level: Models Comparison

Listed author(s):
  • Enrico di Bella


    (Economics Department, University of Genoa, Italy)

  • Lucia Leporatti


    (University of Genoa, Italy)

  • Luca Persico


    (Economics Department, University of Genoa, Italy)

Registered author(s):

    The main techniques used for the spatial analysis of Urban Crime can generally be traced to crime mapping techniques, which are mere representations of crime dispersion over a specific urban area without any statistical modeling of its correlation with the urban structure of the city or any group of socio-demographic and economic variables. In this work, as a proposal to overcome the aforesaid limitation, we analyze the crime occurrences, recorded at street level, in a highly populated district of the City of Genoa, and we use different statistical models to study crime events in relationship with the context in which they happened, interpreting the urban layout of the roads network as a lattice

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    Paper provided by University of Genoa, Research Doctorate in Public Economics in its series DEP - series of economic working papers with number 4/2012.

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    Date of creation: May 2012
    Handle: RePEc:gea:wpaper:4/2012
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    1. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    2. Joseph Hilbe, 1994. "Negative binomial regression," Stata Technical Bulletin, StataCorp LP, vol. 3(18).
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