Homebuyers’ geographic proximity as a predictor of future housing price growth

IF 2 3区 经济学 Q2 BUSINESS, FINANCE Real Estate Economics Pub Date : 2024-02-26 DOI:10.1111/1540-6229.12479
Hayoung Kim
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Abstract

Considering the prevalent information asymmetry in housing markets, this study demonstrates the predictive power of homebuyers’ geographic proximity on housing prices. At the ZIP‐code level, a 10‐percentage‐point increase in the fraction of local buyers corresponds to a 1.1‐percentage‐point higher housing price growth over the subsequent 2 years. At the individual level, out‐of‐town buyers experience a 0.64‐percentage‐point lower annual return compared to local buyers within a county. These results not only highlight the significant information advantages enjoyed by geographically proximate buyers, but also imply that informationally privileged buyers’ revealed preferences for specific locations could provide informationally disadvantaged buyers with hints about which areas are likely to experience higher housing price growth in the near future.
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预测未来房价增长的购房者地理位置远近
考虑到房地产市场普遍存在的信息不对称问题,本研究证明了购房者的地理位置对房价的预测能力。在邮政编码层面,本地购房者比例每增加 10 个百分点,其后两年的房价增长率就会提高 1.1 个百分点。就个人而言,在一个县内,外地购房者的年回报率比本地购房者低 0.64 个百分点。这些结果不仅凸显了地理位置相近的购房者所享有的巨大信息优势,而且还意味着信息优势购房者对特定地点的显性偏好可以为信息劣势购房者提供暗示,让他们知道哪些地区在不久的将来可能会经历更高的房价增长。
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来源期刊
CiteScore
4.00
自引率
13.60%
发文量
44
期刊介绍: As the official journal of the American Real Estate and Urban Economics Association, Real Estate Economics is the premier journal on real estate topics. Since 1973, Real Estate Economics has been facilitating communication among academic researchers and industry professionals and improving the analysis of real estate decisions. Articles span a wide range of issues, from tax rules to brokers" commissions to corporate real estate including housing and urban economics, and the financial economics of real estate development and investment.
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