IDEAS home Printed from https://ideas.repec.org/p/gea/wpaper/4-2012.html
   My bibliography  Save this paper

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

Author

Listed:
  • Enrico di Bella

    () (Economics Department, University of Genoa, Italy)

  • Lucia Leporatti

    () (University of Genoa, Italy)

  • Luca Persico

    () (Economics Department, University of Genoa, Italy)

Abstract

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

Suggested Citation

  • Enrico di Bella & Lucia Leporatti & Luca Persico, 2012. "The Statistical Analysis of Crime Data at Street Level: Models Comparison," DEP - series of economic working papers 4/2012, University of Genoa, Research Doctorate in Public Economics.
  • Handle: RePEc:gea:wpaper:4/2012
    as

    Download full text from publisher

    File URL: http://www.dep.unige.it/RePEc/gea/wpaper/dwpo-4-may2012.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Urban Crime Analysis; Lattice Models; Space Syntax; Spatial Models;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P25 - Economic Systems - - Socialist Systems and Transition Economies - - - Urban, Rural, and Regional Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gea:wpaper:4/2012. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marcello Montefiori). General contact details of provider: http://edirc.repec.org/data/ifgenit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.