(1)向警方举报家庭暴力的溢出效应

IF 1.5 3区数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-05-24 DOI:10.1093/jrsssa/qnad060

Lara Vomfell, Jan Povala

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引用次数: 0

摘要

犯罪的溢出效应通常是作为罪犯行为的结果来研究的。本研究旨在探讨家庭暴力受害人的举报是否会产生外溢效应。家庭暴力是一个特别有趣的情况，因为它的发生率高，但报告率低。扩展现有的时空霍克斯过程规范，我们在英国一个主要城市的所有家庭暴力电话中测试了两个溢出渠道的存在。我们没有发现证据支持家庭暴力报告的这种影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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(No) Spillovers in reporting domestic abuse to police

Spillover effects in crime are typically studied as a result of offender behaviour. This study investigates whether spillover effects can occur in the reporting of domestic abuse by victims. Domestic abuse is a particularly interesting context because of its high prevalence but low reporting rate. Extending existing spatio-temporal Hawkes process specifications, we test for the presence of two spillover channels in all domestic abuse calls in a major English city. We find no evidence to support such effects in the reporting of domestic abuse.

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来源期刊

Journal of the Royal Statistical Society Series A-Statistics in Society 数学-统计学与概率论

CiteScore

2.90

自引率

5.00%

发文量

136

审稿时长

>12 weeks

期刊介绍： Series A (Statistics in Society) publishes high quality papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome. For example, important applications of statistical and related data science methodology in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal''s remit. The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular. Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail. Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposés of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions. Historical, professional and biographical contributions are also welcome, as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance.