移民会增加犯罪吗?具有更精细地理单元的动态阈值模型的优势

Akinori Tomohara
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引用次数: 0

摘要

本研究通过对精细地理单元应用动态面板阈值模型,调查移民与犯罪率是否正相关。这与以往的研究不同,以往的研究将静态和连续模型应用于粗略的地理单元。该分析表明,移民与犯罪的关系存在结构性断裂(或不连续性)。当移民在社区中的比例达到一定水平后,对犯罪有利的种族网络外部性就会出现。这项分析还表明,在使用粗略分类的单位时,在精细地理单元中观察到的移民与犯罪的关系就会消失。如果地理聚合掩盖了城市间的异质性,那么移民与犯罪的关系就会被低估。这些结果表明,在讨论移民与犯罪的关系时,采用精细地理单元的动态阈值模型比采用粗略地理单元的传统静态连续模型更有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does immigration increase crime? The advantage of dynamic threshold models with finer geographic units

This study investigates whether immigration and crime rates are positively related, by applying dynamic panel threshold models to fine geographic units. This is distinct from previous studies, in which static and continuous models are applied to coarse geographic units. This analysis reveals that the immigration-crime relationship has structural breaks (or discontinuities). The favorable ethnic network externalities on crime emerge after the immigrant share reaches a certain level in the community. This analysis also shows that the immigration-crime relationship observed in fine geographic units disappears when coarsely classified units are used. If geographic aggregation obscures heterogeneity among cities, the immigration-crime relationship is underestimated. These results suggest the advantage of dynamic threshold models with fine geographic units compared to traditional static and continuous models with coarse geographic units when discussing the immigration-crime relationship.

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来源期刊
International Economics
International Economics Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
6.30
自引率
0.00%
发文量
74
审稿时长
71 days
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