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Holding Onto the Past: Previous Homes, Post-Move Housing Consumption, and the Great Recession 坚持过去:以前的房子,搬家后的住房消费和大衰退
4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-09-14 DOI: 10.1080/08965803.2023.2254581
Xun Bian, Zifeng Feng, Zhenguo Lin, Yingchun Liu
AbstractWe document that households relocated during the 2007-2009 Great Recession and its aftermath were substantially more likely to hold their previous homes for an extended period of time. We identify two contributing factors to this phenomenon. First, falling house prices pushed many homes into the “negative-equity” and “near-negative-equity” territories, and this made it challenging for owners to sell their homes. Second, we also show that falling home values had a more widespread effect that made all homeowners, regardless of their equity positions, more reluctant to sell. Additionally, we find households without mortgages are more likely to hold previous homes. Overall, we show the relationship between the loan-to-value (LTV) ratio and the likelihood of holding is U-shaped. We further examine the impact of holding previous homes on post-move housing tenure and housing consumption choices. We find that holding previous homes is associated with renting for a longer period. For households that bought new homes after relocation, holding previous homes is associated with the new residences that are less expensive and smaller. Our results suggest that, for households that moved during the housing bust, the Great Recession has a long-lasting effect on their housing consumption choices.Keywords: Housing consumptionthe Great Recessionloan-to-value ratio Disclosure statementNo potential conflict of interest was reported by the author.Notes1 75,000,000×4.5%×6=20,250,000. To be conservative, we use the annual moving rate of 4.5% in 2011 for our calculation. This is the lowest moving rate of homeowner households during the 2006–2018 period (Frost, Citation2020).2 The U.S. Census reports 2.62 per household during the 2015–2019 period. Homeowner households tend to be larger than renter households. Therefore, our estimate is relatively conservative: 20,250,000×2.62=53,055,000.3 Bian et al. (Citation2018) show that housing prices can be distorted and inflated with mortgage financing, and such distortion is even more severe for subprime mortgages, which lead to the housing bubble eventually resulting in the 2007–2009 housing crash due to borrowers’ defaults for various economic and behavioral reasons (e.g. Green & Wachter, Citation2005, Seiler, Citation2015a, Seiler, Citation2015b, Seiler, Citation2018).4 In addition to these effects, other factors linking house prices and household mobility include seasonality (Goodman, Citation1993) and corporate relocation assistance (Allen et al., Citation1997).5 See Ferreira et al. (Citation2010), Schulhofer-Wohl (Citation2011), and Coulson and Grieco (Citation2013).6 Coulson et al. (Citation2002) provides an excellent review of the social benefits of homeownership and some related issues.7 The PSID was conducted annually from 1968 to 1997 and biennially after 1997.8 We eliminate from our sample the small fraction of mobile homeowners due to the idiosyncrasies of their housing arrangements and mobility patterns.9 Each
17 .虽然ΔHPI_Up和ΔHPI_Down之间边际效应的相对差异很大,但两者的幅度都很小。我们怀疑,这至少部分是因为HPI,一个州级价格指数,无法捕捉到一个州内不同地区的房价变动Benmelech等人(Citation2022)的文件显示,在购买房屋后的两年内,家庭在与房屋相关的耐用品和房屋装修上的平均支出增加了8,000美元我们感谢一位匿名评论者提出的建议。
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引用次数: 0
Housing Price Cycle Interdependencies and Comovement: A Markov-Switching Approach 房价周期的相互依赖性与协调性:一种马尔可夫转换方法
IF 0.8 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-08-30 DOI: 10.1080/08965803.2023.2247293
Jeffrey Cohen, Cletus C. Coughlin, Daniel Soques
,
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引用次数: 0
iBuyer’s Use of PropTech to Make Large-Scale Cash Offers 买家使用PropTech进行大规模现金报价
IF 0.8 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-07-10 DOI: 10.1080/08965803.2023.2214467
Jackson T. Anderson, F. Fuerst, R. Peiser, Michael J. Seiler
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引用次数: 0
Macroeconomic Uncertainty and Predictability of Real Estate Returns: The Impact of Asset Liquidity 房地产收益的宏观经济不确定性与可预测性:资产流动性的影响
4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-06-30 DOI: 10.1080/08965803.2023.2211812
Nandkumar Nayar, S. McKay Price, Ke Shen
Recent research has shown that macroeconomic uncertainty is a significant factor that is contemporaneously incorporated into asset returns. Therefore, it should not have a role in predicting future returns. At the same time, separate research has demonstrated that illiquidity is related to future returns. We examine the interplay between these two dynamics in a commercial real estate setting, where (il)liquidity is a defining characteristic of the asset class. Empirical tests confirm the absence of return predictability for liquid assets (publicly traded property portfolios). However, we find significant return predictability predicated on ex ante macroeconomic uncertainty when we examine assets that are not as liquid (directly held property portfolios). Our findings are robust to several refinements, including adjustments for delays in the transaction closing process to establish transaction prices in the directly held market, controls for leverage inherent in publicly traded real estate asset returns, and pro-cyclical liquidity variation in private real estate markets.
最近的研究表明,宏观经济的不确定性是同时被纳入资产回报的一个重要因素。因此,它不应该在预测未来收益方面发挥作用。与此同时,另一项研究表明,流动性不足与未来回报有关。我们在商业房地产环境中研究这两种动态之间的相互作用,其中(il)流动性是资产类别的定义特征。实证测试证实,流动性资产(公开交易的房地产投资组合)缺乏回报可预测性。然而,当我们研究流动性不强的资产(直接持有的房地产投资组合)时,我们发现基于事前宏观经济不确定性的显著回报可预测性。我们的研究结果对于若干改进是稳健的,包括调整交易结束过程中的延迟,以确定直接持有市场的交易价格,控制公开交易房地产资产回报固有的杠杆,以及私人房地产市场的顺周期流动性变化。
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引用次数: 0
Valuation of Mortgages by Using Lévy Models 基于lsamvy模型的抵押贷款估值
IF 0.8 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-06-30 DOI: 10.1080/08965803.2023.2208896
Shuling Chiang, M. Tsai
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引用次数: 0
Household Income Growth and Firm Valuation: Evidence from REITs 家庭收入增长与企业估值:来自房地产投资信托基金的证据
IF 0.8 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-06-30 DOI: 10.1080/08965803.2023.2209478
Zifeng Feng
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引用次数: 1
Residential Marketing Duration: Film Studios as Neighborhood Sales Accelerators 住宅营销持续时间:电影制片厂作为邻里销售加速器
IF 0.8 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-06-27 DOI: 10.1080/08965803.2023.2214469
Velma Zahirovic-Herbert, K. Gibler
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引用次数: 0
The Value of School Quality during a Pandemic 大流行时期学校质量的价值
4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-06-07 DOI: 10.1080/08965803.2023.2206285
Constant Tra
The COVID-19 pandemic transformed the everyday life of U.S. families during 2020. This paper examines how the dramatic changes to schooling during the COVID-19 pandemic impacted the capitalization of established good schools into home prices in the Las Vegas urban area. Our findings show evidence that the pandemic changes negatively impacted the capitalization of school compared to the pre-pandemic period. We provide hypotheses tests for the potential mechanisms behind this effect. We find that the estimated pandemic effect was driven by the combination of a strong housing demand and a more elastic housing supply during the pandemic period. We estimate a flexible hedonic specification which accounts for unobserved neighborhood quality using a combination of spatial and temporal neighborhood fixed effects. Our estimates account for the spatial distribution in COVID-19 cases, school peer effects, alternative school choices and changes in the housing demand and supply over the pandemic period. Overall, the results tend to suggest that the changes took place during the COVID-19 pandemic adversely affected homebuyers’ preferences for neighborhood public schools.
新冠肺炎大流行在2020年改变了美国家庭的日常生活。本文研究了2019冠状病毒病大流行期间学校教育的巨大变化是如何影响拉斯维加斯城区已建立的好学校的资本化成为房价的。我们的研究结果表明,与大流行前相比,大流行的变化对学校的资本化产生了负面影响。我们为这种效应背后的潜在机制提供了假设检验。我们发现,估计的大流行效应是由大流行期间强劲的住房需求和更具弹性的住房供应共同驱动的。我们估计了一个灵活的享乐规范,该规范利用空间和时间邻域固定效应的组合来解释未观察到的邻域质量。我们的估计考虑了COVID-19病例的空间分布、学校同伴效应、替代学校选择以及大流行期间住房需求和供应的变化。总体而言,结果倾向于表明,在COVID-19大流行期间发生的变化对购房者对社区公立学校的偏好产生了不利影响。
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引用次数: 0
Taming Housing and Financial Market Instability: The Effect of Heterogeneous Banking Regulations 驯服住房与金融市场不稳定:异质性银行监管的影响
IF 0.8 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-05-26 DOI: 10.1080/08965803.2023.2206284
J. Braun
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引用次数: 0
Tenant Industry Sector and European Listed Real Estate Performance 租赁业板块和欧洲上市房地产表现
4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-05-18 DOI: 10.1080/08965803.2023.2196181
Jan Muckenhaupt, Martin Hoesli, Bing Zhu
This paper extends the empirical evidence on the relationship between the performance of public real estate companies (PRECs) and the industrial sector of their tenants. By investigating the performance of a large sample of European real estate firms from 2010 to 2019 and information pertaining to the firms’ tenants, we find that the systematic risk in the tenants’ industry sectors is capitalized in real estate company equity returns. Our results remain robust after correcting for stock beta modifications, tenant sector alpha, tenant anchor effects, and other tenant characteristics. We consider a hypothetical trading strategy that assumes a long position on PRECs whose occupier base is dominated by tenants belonging to riskier sectors, while the trading strategy shortens PRECs whose tenants belong to less risky sectors. The adoption of this strategy yields benchmark-adjusted annual returns of 3.68%.
本文扩展了上市房地产公司绩效与其租户产业部门之间关系的实证证据。通过调查2010年至2019年欧洲房地产公司的大样本业绩和与公司租户有关的信息,我们发现租户行业部门的系统性风险被资本化在房地产公司的股权回报中。在对股票beta修正、租户部门alpha、租户锚定效应和其他租户特征进行校正后,我们的业绩仍然强劲。我们考虑了一种假设的交易策略,该交易策略假设租户主要来自风险较高的行业,而做空租户来自风险较低行业的prec。采用这一策略,经基准调整后的年回报率为3.68%。
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引用次数: 0
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