COVID-19 期间房价估算值的变化揭示了危机对集体投机的影响

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Alexander M. Petersen
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引用次数: 0

摘要

我们利用由单个房价估算组成的城市级面板来估算 COVID-19 对美国加利福尼亚州小型和大型房地产市场的影响。对现货房价估算的描述性分析,包括在线房地产平台 Zillow.com 上列出的单个房产的同期价格不确定性和 30 天价格变化,有助于量化这一全球性社会经济冲击带来的超额估值和估值信心。我们在 COVID-19 前后的准实验性设计跨越了 2020 年前后的数年时间,并利用当时的租赁物业价格估算(即进入居住市场的场外房地产,只是不用于购买,因此没有投机行为)作为上市销售物业的适当反事实,而上市销售物业则受到场内投机行为的影响。结合单位水平匹配和多变量差分回归方法,我们对大流行病爆发后观察到的超额价格增长的符号和幅度进行了一致的估计。具体来说,我们的结果表明,在没有发生大流行病的情况下,挂牌出售的房产每月比预期的多升值 1%。这相当于每年超额价格增长约 12.7 个百分点,占 2021 年研究地区实际年度价格增长的一半以上。与此同时,价格估计的不确定性下降,这表明之前的资产泡沫具有非理性信心的特征。我们探讨了这两种趋势与市场规模、本地市场供应和借贷成本之间的关系,这些因素共同支持了不确定性和中断在决策中的反直觉作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Shift in house price estimates during COVID-19 reveals effect of crisis on collective speculation

Shift in house price estimates during COVID-19 reveals effect of crisis on collective speculation

We exploit a city-level panel comprised of individual house price estimates to estimate the impact of COVID-19 on both small and big real-estate markets in California USA. Descriptive analysis of spot house price estimates, including contemporaneous price uncertainty and 30-day price change for individual properties listed on the online real-estate platform Zillow.com, together facilitate quantifying both the excess valuation and valuation confidence attributable to this global socio-economic shock. Our quasi-experimental pre-/post-COVID-19 design spans several years around 2020 and leverages contemporaneous price estimates of rental properties – i.e., off-market real estate entering the habitation market, just not for purchase and hence free of speculation – as an appropriate counterfactual to properties listed for sale, which are subject to on-market speculation. Combining unit-level matching and multivariate difference-in-difference regression approaches, we obtain consistent estimates regarding the sign and magnitude of excess price growth observed after the pandemic onset. Specifically, our results indicate that properties listed for sale appreciated an additional 1% per month above what would be expected in the absence of the pandemic. This corresponds to an excess annual price growth of roughly 12.7 percentage points, which accounts for more than half of the actual annual price growth in 2021 observed across the studied regions. Simultaneously, uncertainty in price estimates decreased, signaling the irrational confidence characteristic of prior asset bubbles. We explore how these two trends are related to market size, local market supply and borrowing costs, which altogether lend support for the counterintuitive roles of uncertainty and interruptions in decision-making.

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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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