共 41 条
Housing return volatility in large metropolitan areas in the United States across market cycles (2000-2022)
被引:0
|作者:
Dong, Hongwei
[1
,2
]
机构:
[1] Calif State Univ Fresno, Dept Geog & City & Reg Planning, Fresno, CA USA
[2] Calif state Univ, Dept Geog & City Reg Planning, 2555 San Ramon,M-S SB69 Fresno, Fresno, CA 93740 USA
关键词:
Housing return volatility;
housing market volatility;
spatial pattern;
sociodemographic disparity;
housing supply;
PRICE VOLATILITY;
DETERMINANTS;
DYNAMICS;
INCOME;
RISK;
D O I:
10.1080/02673037.2023.2218284
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
This study compares the inter- and intra-metropolitan patterns of housing return volatility in four market phases (boom, bust, recovery, and pandemic) in the United States between 2000 and 2022. The study finds a weak correlation between the physical characteristics of neighborhoods and housing market volatility. Notably, higher-density neighborhoods show greater market volatility throughout the boom, bust, and recovery phases but the trend is reversed during the pandemic period. However, the sociodemographic composition of neighborhoods exhibits a stronger correlation with market volatility. Specifically, housing markets in Black neighborhoods demonstrate persistently higher volatility, irrespective of market fluctuations. Similarly, low-income neighborhoods are consistently associated with greater volatility before the pandemic. The study does not find a consistent association between housing supply and market volatility across the four market phases. It shows that during the 2008 housing downturn, housing markets were less volatile in metropolitan areas with stricter land use regulations, less developable land, fewer home constructions, and better natural amenities.
引用
收藏
页码:2700 / 2717
页数:18
相关论文