新冠肺炎对美国房地产市场的影响:来自空间回归模型的证据

IF 1.5 3区 经济学 Q2 ECONOMICS
Jim Lee, Yuxia Huang
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引用次数: 10

摘要

摘要本文实证研究了传统观点,即城市居民对新冠肺炎疫情的反应是逃离市中心前往郊区。美国邮政编码级别数据的传统面板模型提供了混合证据,支持人们对远离城市核心的更多空间或街区的住房偏好发生变化。考虑到空间依赖性和空间异质性的回归显示,大都市地区的城市飞行得到了强有力的支持,但这种局部现象在美国广大地区是不均衡的。地理差异的发现突出了住房市场条件的地方性和区域性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Covid-19 impact on US housing markets: evidence from spatial regression models
ABSTRACT This paper empirically investigates the conventional wisdom that urban residents have reacted to the Covid-19 pandemic by fleeing city centres for the suburbs. A conventional panel model of US ZIP code-level data provides mixed evidence in support of a shifting housing preference for more space or neighbourhoods farther from the urban core. Regressions accounting for spatial dependence and spatial heterogeneity show strong support of an urban flight within metro areas, but this local phenomenon is uneven across broad regions of the United States. The finding of geographical disparity underscores both the local as well as the regional nature of housing market conditions.
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来源期刊
CiteScore
5.40
自引率
21.70%
发文量
33
期刊介绍: Spatial Economic Analysis is a pioneering economics journal dedicated to the development of theory and methods in spatial economics, published by two of the world"s leading learned societies in the analysis of spatial economics, the Regional Studies Association and the British and Irish Section of the Regional Science Association International. A spatial perspective has become increasingly relevant to our understanding of economic phenomena, both on the global scale and at the scale of cities and regions. The growth in international trade, the opening up of emerging markets, the restructuring of the world economy along regional lines, and overall strategic and political significance of globalization, have re-emphasised the importance of geographical analysis.
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