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

被引:0
作者
Kim, Hayoung [1 ,2 ]
机构
[1] Jeonbuk Natl Univ, Dept Econ, 567 Baekje Daero, Jeonju Si 54896, Jeollabuk Do, South Korea
[2] UCL, UCL Sch Management, London, England
关键词
geographic proximity; housing price predictability; information asymmetry; REAL-ESTATE; INFORMATION ASYMMETRIES; SEARCH COSTS; MARKET; AGENTS; LOCATION; MATTERS; BUYERS; ALWAYS; BIAS;
D O I
10.1111/1540-6229.12479
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页码:1140 / 1158
页数:19
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