估算地理区域犯罪数据的可靠性

I. brunton-smith, Alexandru Cernat, J. Pina-Sánchez, David Buil-Gil
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引用次数: 1

摘要

犯罪数据是有问题的:从未报案的犯罪会影响数据的有效性,而警方记录方法的不同也会影响数据的可靠性。然而,这些问题的真实程度并不为人所知,现有研究在方法上存在诸多局限。我们使用一个稳健的潜在特质模型来检验英格兰和威尔士警方记录的犯罪数据和基于调查的犯罪估计数据的质量,该模型有效地反映了相互竞争的误差来源。我们发现,虽然从警方数据中得出的犯罪率系统性地低估了犯罪的真实程度,但它们比调查数据的估计值要可靠得多。暴力和刑事破坏的可靠性较低,并且随着时间的推移越来越差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the Reliability of Crime Data in Geographic Areas
Crime data are problematic: Crimes that are never reported undermine its validity and differences in police recording practices affect its reliability. However, the true extent of these problems is not well known, with existing studies suffering from a number of methodological limitations. We examine the quality of police recorded crime data and survey-based crime estimates recorded in England and Wales using a robust latent trait model that effectively represents the competing sources of error. We find that whilst crime rates derived from police data systematically underestimate the true extent of crime, they are substantially more reliable than estimates from survey data. Reliability is lower for violence and criminal damage and is getting worse over time.
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