频繁可见的犯罪暴力如何影响房价:来自墨西哥城的证据(2007-2011)

IF 1.5 Q3 URBAN STUDIES
Laura H. Atuesta, Monserrat Carrasco
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引用次数: 0

摘要

目的2006年至2012年间,墨西哥实施了一场“打击有组织犯罪的正面战争”。这一战略增加了犯罪暴力,并在该国的经济、政治和社会领域引发了负面后果。本研究旨在分析犯罪暴力的程度和可见性如何影响墨西哥城的住房市场。设计/方法/方法作者使用不同的暴力指标来衡量暴力的程度及其可见性对房价的影响。数据集的结构是一个不平衡的面板,没有严格的外生性条件。为了解决内生性问题,作者计算了第一个差异来估计Arellano–Bond估计量,并使用因变量的滞后来工具化内生变量。调查结果表明,暴力的严重程度对房价产生了负面影响。同样,通过放置在被处决受害者尸体旁的毒品调查来衡量,房产越接近可见的暴力,房价就会受到负面影响。最后,当附近发生暴力事件时,房价并不总是受到影响,特别是当邻居或潜在买家认为这是零星的暴力事件时。独创性/价值利用发展中国家的数据对房价中的暴力行为进行的研究很少,而且这些研究大多是利用市或州一级的汇总数据进行的。作者使用地理编码的信息,包括暴力事件和房价,来估计更多的分类影响。此外,作者使用不同的指标来衡量暴力的不同特征(程度和可见性),以估计暴力对房价的异质影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How frequent and visible criminal violence affects housing prices: evidence from Mexico City (2007–2011)
Purpose Between 2006 and 2012, Mexico implemented a “frontal war against organized crime”. This strategy increased criminal violence and triggered negative consequences across the country’s economic, political and social spheres. This study aims to analyse how the magnitude and visibility of criminal violence impact the housing market of Mexico City. Design/methodology/approach The authors used different violent proxies to measure the effect of the magnitude and visibility of violence in housing prices. The structure of the data set is an unbalanced panel with no conditions of strict exogeneity. To address endogeneity, the authors calculate the first differences to estimate an Arellano–Bond estimator and use the lags of the dependent variable to instrumentalise the endogenous variable. Findings Results suggest that the magnitude of violence negatively impacts housing prices. Similarly, housing prices are negatively affected the closer the property is to visible violence, measured through narcomessages placed next to the bodies of executed victims. Lastly, housing prices are not always affected when a violent event occurs nearby, specifically, when neighbours or potential buyers consider this event as sporadic violence. Originality/value There are only a few studies of violence in housing prices using data from developing countries, and most of these studies are conducted with aggregated data at the municipality or state level. The authors are using geocoded information, both violence events and housing prices, to estimate more disaggregated effects. Moreover, the authors used different proxies to measure different characteristics of violence (magnitude and visibility) to estimate the heterogeneous effects of violence on housing prices.
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来源期刊
CiteScore
2.80
自引率
29.40%
发文量
68
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