新冠肺炎与房价:来自美国县级数据的证据。

Hakan Yilmazkuday
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引用次数: 5

摘要

本文调查了2019冠状病毒病(新冠肺炎)对美国县级房价的影响。新冠肺炎病例对房价的影响是通过使用双向固定效应面板回归进行正式调查的,其中国家特定因素、时间特定因素和个人流动性指标受到控制。基准结果显示了新冠肺炎病例对房价的负面和显著影响的证据,考虑到几个排列测试,这种负面影响在贫困率较高的县更为明显。排除测试进一步表明,美国加利福尼亚州或2020年5月的县对实证结果负有更大的责任,尽管基于其他县和月的结果仍然与基准结果一致。
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 and housing prices: evidence from U.S. county-level data.

COVID-19 and housing prices: evidence from U.S. county-level data.

COVID-19 and housing prices: evidence from U.S. county-level data.

COVID-19 and housing prices: evidence from U.S. county-level data.

This paper investigates the effects of coronavirus disease 2019 (COVID-19) on housing prices at the U.S. county level. The effects of COVID-19 cases on housing prices are formally investigated by using a two-way fixed effects panel regression, where county-specific factors, time-specific factors, and mobility measures of individuals are controlled for. The benchmark results show evidence for negative and significant effects of COVID-19 cases on housing prices, robust to the consideration of several permutation tests, where the negative effects are more evident in counties with higher poverty rates. Exclusion tests further suggest that U.S. counties in the state of California or the month of May 2020 are more responsible for the empirical results, although the results based on other counties and months are still in line with the benchmark results.

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