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Distribution dynamics of property crime rates in the United States

Alessandro Moro ()

Urban Studies, 2017, vol. 54, issue 11, 2613-2630

Abstract: Using crime data for the 48 continental and conterminous US states and the distribution dynamics approach, this paper detects two distinct phases in the evolution of the property crime distribution: a period of strong convergence (1971–1980) is followed by a tendency towards divergence and bimodality (1981–2010). Moreover, the analysis reveals that differences in income per capita and police can explain the emergence of a bimodal shape in the distribution of property crime: in fact, after conditioning on these variables, the bimodality completely disappears. This empirical evidence is consistent with the predictions of a two-region model, that stresses the importance of income inequality in determining the dynamics of the property crime distribution.

Keywords: convergence analysis; crime distribution; distribution dynamics; non-parametric statistics; property crime; 收敛性分æž; 犯罪分布; 分布动æ€; é žå ‚æ•°ç»Ÿè®¡; 财产; 犯罪 (search for similar items in EconPapers)
Date: 2017
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https://journals.sagepub.com/doi/10.1177/0042098016652535 (text/html)

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Working Paper: Distribution Dynamics of Property Crime Rates in the United States (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:54:y:2017:i:11:p:2613-2630

DOI: 10.1177/0042098016652535

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