Tracking the pulse of a city—3D real estate price heat maps

Sumit Agarwal, Ying Fan, Daniel P. McMillen, Tien Foo Sing

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


This paper proposes the use of a semiparametric model based on a locally weighted approach that controls for dynamic agglomeration and diffusion effects in constructing localized housing price indices. Based on residential transaction records in Singapore, we create three-dimensional interactive heat maps that allow for better measurement and visualization of spatial variations and heterogeneity in price appreciation. The heat map captures regional variations and temporal dispersions in price appreciation rates in the business cycle. Our methodology provides high-resolution information about price dynamics that could aid individual buyers, investors, and policy makers in making objective and informed decisions.

Original languageEnglish
Pages (from-to)543-569
Number of pages27
JournalJournal of Regional Science
Issue number3
Publication statusPublished - Jun 2021


  • heat map
  • locally weighted estimation
  • real estate price index

ASJC Scopus subject areas

  • Development
  • Environmental Science (miscellaneous)


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