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The Costs of Urban Property Crime

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  • Steve Gibbons

Abstract

This paper estimates the impact of recorded domestic property crime on property prices in the London area. Crimes in the Criminal Damage category have a significant negative impact on prices. A one-tenth standard deviation decrease in the local density of criminal damage adds 1% to the price of an average Inner London property. Burglaries have no measurable impact on prices, even after allowing for the potential dependence of burglary rates on unobserved property characteristics. One explanation we offer here is that vandalism, graffiti and other forms of criminal damage motivate fear of crime in the community and may be taken as signals or symptoms of community instability and neighbourhood deterioration in general. Copyright 2004 Royal Economic Society.

Suggested Citation

  • Steve Gibbons, 2004. "The Costs of Urban Property Crime," Economic Journal, Royal Economic Society, vol. 114(499), pages 441-463, November.
  • Handle: RePEc:ecj:econjl:v:114:y:2004:i:499:p:f441-f463
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    References listed on IDEAS

    as
    1. Steve Gibbons & Stephen Machin, 2001. "Valuing Primary Schools," CEE Discussion Papers 0015, Centre for the Economics of Education, LSE.
    2. Allen Lynch & David Rasmussen, 2001. "Measuring the impact of crime on house prices," Applied Economics, Taylor & Francis Journals, vol. 33(15), pages 1981-1989.
    3. Thaler, Richard, 1978. "A note on the value of crime control: Evidence from the property market," Journal of Urban Economics, Elsevier, vol. 5(1), pages 137-145, January.
    4. Brand, Sam & Price, Richard, 2000. "The economic and social costs of crime," MPRA Paper 74968, University Library of Munich, Germany.
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    More about this item

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • 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

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