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Understanding unsolved crimes hotspots: a spatial approach

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  • Juan Andrés Cabral

Abstract

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Suggested Citation

  • Juan Andrés Cabral, 2021. "Understanding unsolved crimes hotspots: a spatial approach," Asociación Argentina de Economía Política: Working Papers 4445, Asociación Argentina de Economía Política.
    • Handle: RePEc:aep:anales:4445
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    References listed on IDEAS

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    1. Luc Anselin & Xun Li, 2019. "Operational local join count statistics for cluster detection," Journal of Geographical Systems, Springer, vol. 21(2), pages 189-210, June.
    2. Kuo, Pei-Fen & Lord, Dominique & Walden, Troy Duane, 2013. "Using geographical information systems to organize police patrol routes effectively by grouping hotspots of crash and crime data," Journal of Transport Geography, Elsevier, vol. 30(C), pages 138-148.
    3. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    4. J. H. Ratcliffe & M. J. McCullagh, 1999. "Hotbeds of crime and the search for spatial accuracy," Journal of Geographical Systems, Springer, vol. 1(4), pages 385-398, December.
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    More about this item

    Keywords

    hotspots; crimes; spatial;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law

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