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

Research output: Contribution to journalJournal articlepeer-review

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.

Original languageEnglish
Pages (from-to)1140-1158
Number of pages19
JournalReal Estate Economics
Volume52
Issue number4
DOIs
StatePublished - 2024.07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • geographic proximity
  • housing price predictability
  • information asymmetry

Quacquarelli Symonds(QS) Subject Topics

  • Accounting & Finance
  • Economics & Econometrics

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